Deck 13: Queuing Theory

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سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The objective in queuing problems is to find the service level that achieves an acceptable balance between the cost of providing service and customer satisfaction.<div style=padding-top: 35px> Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The objective in queuing problems is to find the service level that achieves an acceptable balance between the cost of providing service and customer satisfaction.<div style=padding-top: 35px>
The objective in queuing problems is to find the service level that achieves an acceptable balance between the cost of providing service and customer satisfaction.
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سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     A situation where cars arrive at an intersection can be modeled as an M/D/s queue with finite capacity.<div style=padding-top: 35px> Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     A situation where cars arrive at an intersection can be modeled as an M/D/s queue with finite capacity.<div style=padding-top: 35px>
A situation where cars arrive at an intersection can be modeled as an M/D/s queue with finite capacity.
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The amount of time a customer spends with the server is referred to as</strong> A) system time. B) queue time. C) service time. D) served time. <div style=padding-top: 35px> <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The amount of time a customer spends with the server is referred to as</strong> A) system time. B) queue time. C) service time. D) served time. <div style=padding-top: 35px>
The amount of time a customer spends with the server is referred to as

A) system time.
B) queue time.
C) service time.
D) served time.
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     One way to improve performance of a queuing system from the customer perspective is to reduce the number of servers.<div style=padding-top: 35px> Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     One way to improve performance of a queuing system from the customer perspective is to reduce the number of servers.<div style=padding-top: 35px>
One way to improve performance of a queuing system from the customer perspective is to reduce the number of servers.
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     What is the service policy in the queuing systems presented in this chapter that is considered fair by the customers?</strong> A) FIFO B) LIFO C) FILO D) Priority <div style=padding-top: 35px> <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     What is the service policy in the queuing systems presented in this chapter that is considered fair by the customers?</strong> A) FIFO B) LIFO C) FILO D) Priority <div style=padding-top: 35px>
What is the service policy in the queuing systems presented in this chapter that is considered "fair" by the customers?

A) FIFO
B) LIFO
C) FILO
D) Priority
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.      -If the number of arrivals in a given period of time follows a Poisson distribution with mean  , the interarrival times follow an exponential probability distribution with mean 1/λ<div style=padding-top: 35px> Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.      -If the number of arrivals in a given period of time follows a Poisson distribution with mean  , the interarrival times follow an exponential probability distribution with mean 1/λ<div style=padding-top: 35px>

-If the number of arrivals in a given period of time follows a Poisson distribution with mean Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.      -If the number of arrivals in a given period of time follows a Poisson distribution with mean  , the interarrival times follow an exponential probability distribution with mean 1/λ<div style=padding-top: 35px> , the interarrival times follow an exponential probability distribution with mean 1/λ
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     Which of the following best describes queuing theory?</strong> A) The study of arrival rates. B) The study of service times. C) The study of waiting lines. D) The evaluation of service time costs. <div style=padding-top: 35px> <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     Which of the following best describes queuing theory?</strong> A) The study of arrival rates. B) The study of service times. C) The study of waiting lines. D) The evaluation of service time costs. <div style=padding-top: 35px>
Which of the following best describes queuing theory?

A) The study of arrival rates.
B) The study of service times.
C) The study of waiting lines.
D) The evaluation of service time costs.
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     If the arrival process is modeled as a Poisson random variable with arrival rate λ, then the average time between arrivals is</strong> A) 1/μ B) 1/λ C) 1/λ<sup>2</sup> D) σ <div style=padding-top: 35px> <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     If the arrival process is modeled as a Poisson random variable with arrival rate λ, then the average time between arrivals is</strong> A) 1/μ B) 1/λ C) 1/λ<sup>2</sup> D) σ <div style=padding-top: 35px>
If the arrival process is modeled as a Poisson random variable with arrival rate λ, then the average time between arrivals is

A) 1/μ
B) 1/λ
C) 1/λ2
D) σ
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The term queuing theory refers to the body of knowledge dealing with waiting lines.<div style=padding-top: 35px> Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The term queuing theory refers to the body of knowledge dealing with waiting lines.<div style=padding-top: 35px>
The term queuing theory refers to the body of knowledge dealing with waiting lines.
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The M in M/G/1 stands for</strong> A) Markovian inter-arrival times. B) Mendelian inter-arrival times. C) Mean inter-arrival times. D) Mathematical inter-arrival times. <div style=padding-top: 35px> <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The M in M/G/1 stands for</strong> A) Markovian inter-arrival times. B) Mendelian inter-arrival times. C) Mean inter-arrival times. D) Mathematical inter-arrival times. <div style=padding-top: 35px>
The M in M/G/1 stands for

A) Markovian inter-arrival times.
B) Mendelian inter-arrival times.
C) Mean inter-arrival times.
D) Mathematical inter-arrival times.
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     In a queuing problem, Wq > W.<div style=padding-top: 35px> Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     In a queuing problem, Wq > W.<div style=padding-top: 35px>
In a queuing problem, Wq > W.
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     If the service rate decreases as the arrival rate remains constant, then, in general</strong> A) customer waiting time increases. B) customer waiting time decreases. C) service costs increase. D) customer dissatisfaction decreases. <div style=padding-top: 35px> <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     If the service rate decreases as the arrival rate remains constant, then, in general</strong> A) customer waiting time increases. B) customer waiting time decreases. C) service costs increase. D) customer dissatisfaction decreases. <div style=padding-top: 35px>
If the service rate decreases as the arrival rate remains constant, then, in general

A) customer waiting time increases.
B) customer waiting time decreases.
C) service costs increase.
D) customer dissatisfaction decreases.
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     Joe's Copy Center has 10 copiers. They break down and require service quite often. Time between breakdowns follows an exponential distribution for each copier. The repair person services machines as quickly as possible, but the service time follows an exponential distribution. What type of system is it?</strong> A) M/M/1 with Finite Population B) M/M/1 with Finite Queue C) M/M/1 D) M/M/10 <div style=padding-top: 35px> <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     Joe's Copy Center has 10 copiers. They break down and require service quite often. Time between breakdowns follows an exponential distribution for each copier. The repair person services machines as quickly as possible, but the service time follows an exponential distribution. What type of system is it?</strong> A) M/M/1 with Finite Population B) M/M/1 with Finite Queue C) M/M/1 D) M/M/10 <div style=padding-top: 35px>
Joe's Copy Center has 10 copiers. They break down and require service quite often. Time between breakdowns follows an exponential distribution for each copier. The repair person services machines as quickly as possible, but the service time follows an exponential distribution. What type of system is it?

A) M/M/1 with Finite Population
B) M/M/1 with Finite Queue
C) M/M/1
D) M/M/10
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     What is the formula for P(t ≤ T) under the exponential distribution with rate μ?</strong> A) 1 − eμ<sup>T</sup> B) eμ<sup>T</sup> C) 1 − e−μ<sup>T</sup> D) 1 − e<sup>T</sup> <div style=padding-top: 35px> <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     What is the formula for P(t ≤ T) under the exponential distribution with rate μ?</strong> A) 1 − eμ<sup>T</sup> B) eμ<sup>T</sup> C) 1 − e−μ<sup>T</sup> D) 1 − e<sup>T</sup> <div style=padding-top: 35px>
What is the formula for P(t ≤ T) under the exponential distribution with rate μ?

A) 1 − eμT
B) eμT
C) 1 − e−μT
D) 1 − eT
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     An arrival process is memoryless if the time until the next arrival occurs is inversely proportional to the time elapsed since the last arrival.<div style=padding-top: 35px> Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     An arrival process is memoryless if the time until the next arrival occurs is inversely proportional to the time elapsed since the last arrival.<div style=padding-top: 35px>
An arrival process is memoryless if the time until the next arrival occurs is inversely proportional to the time elapsed since the last arrival.
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The number of arrivals that occurs in a given time period represents a random variable in a queuing system.<div style=padding-top: 35px> Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The number of arrivals that occurs in a given time period represents a random variable in a queuing system.<div style=padding-top: 35px>
The number of arrivals that occurs in a given time period represents a random variable in a queuing system.
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     A barber shop has one barber, a Poisson arrival rate and exponentially distributed service times. What is the Kendall notation for this system?</strong> A) M/M/E B) M/M/1 C) M/E/1 D) P/M/1 <div style=padding-top: 35px> <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     A barber shop has one barber, a Poisson arrival rate and exponentially distributed service times. What is the Kendall notation for this system?</strong> A) M/M/E B) M/M/1 C) M/E/1 D) P/M/1 <div style=padding-top: 35px>
A barber shop has one barber, a Poisson arrival rate and exponentially distributed service times. What is the Kendall notation for this system?

A) M/M/E
B) M/M/1
C) M/E/1
D) P/M/1
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The memoryless property is also referred to as the ____ property.</strong> A) Markov B) Erlang C) Poisson D) Normal <div style=padding-top: 35px> <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The memoryless property is also referred to as the ____ property.</strong> A) Markov B) Erlang C) Poisson D) Normal <div style=padding-top: 35px>
The memoryless property is also referred to as the ____ property.

A) Markov
B) Erlang
C) Poisson
D) Normal
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     A balk refers to</strong> A) a customer who refuses to join the queue. B) a customer who refuses service by a specific server. C) a customer who joins the queue but leaves before service is complete. D) a customer who requires extra service time. <div style=padding-top: 35px> <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     A balk refers to</strong> A) a customer who refuses to join the queue. B) a customer who refuses service by a specific server. C) a customer who joins the queue but leaves before service is complete. D) a customer who requires extra service time. <div style=padding-top: 35px>
A balk refers to

A) a customer who refuses to join the queue.
B) a customer who refuses service by a specific server.
C) a customer who joins the queue but leaves before service is complete.
D) a customer who requires extra service time.
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     In the Kendall notation M/D/4, D stands for</strong> A) memoryless arrival distribution B) deterministic departure distribution C) memoryless arrival and departure distributions D) none of the above <div style=padding-top: 35px> <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     In the Kendall notation M/D/4, D stands for</strong> A) memoryless arrival distribution B) deterministic departure distribution C) memoryless arrival and departure distributions D) none of the above <div style=padding-top: 35px>
In the Kendall notation M/D/4, D stands for

A) memoryless arrival distribution
B) deterministic departure distribution
C) memoryless arrival and departure distributions
D) none of the above
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   In the Kendall notation M/G/4, G stands for</strong> A) memoryless arrival distribution B) general departure distribution C) memoryless arrival and departure distributions D) none of the above <div style=padding-top: 35px>
In the Kendall notation M/G/4, G stands for

A) memoryless arrival distribution
B) general departure distribution
C) memoryless arrival and departure distributions
D) none of the above
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   In the Kendall notation M/G/4, the number 4 indicates</strong> A) the number of servers B) deterministic departure distribution C) memoryless arrival and departure distributions D) queue capacity <div style=padding-top: 35px>
In the Kendall notation M/G/4, the number 4 indicates

A) the number of servers
B) deterministic departure distribution
C) memoryless arrival and departure distributions
D) queue capacity
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   The Kendall notation for a queuing system with Poisson arrivals, exponential service and 3 service providers is</strong> A) M/M/3 B) M/G/1 C) G/G/3 D) G/G/1 <div style=padding-top: 35px>
The Kendall notation for a queuing system with Poisson arrivals, exponential service and 3 service providers is

A) M/M/3
B) M/G/1
C) G/G/3
D) G/G/1
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   What is the mean arrival rate based on the following 8 arrival rate observations? ​ Number of arrivals per hour: 6, 5, 3, 4, 7, 6, 4, 5 ​</strong> A) 3 B) 4 C) 5 D) 6 <div style=padding-top: 35px>
What is the mean arrival rate based on the following 8 arrival rate observations? ​
Number of arrivals per hour: 6, 5, 3, 4, 7, 6, 4, 5

A) 3
B) 4
C) 5
D) 6
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     A Poisson distribution shape can be described as</strong> A) slightly skewed to the left. B) symmetric around the parameter λ. C) skewed to the right. D) discrete so it lacks any definable shape. <div style=padding-top: 35px> <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     A Poisson distribution shape can be described as</strong> A) slightly skewed to the left. B) symmetric around the parameter λ. C) skewed to the right. D) discrete so it lacks any definable shape. <div style=padding-top: 35px>
A Poisson distribution shape can be described as

A) slightly skewed to the left.
B) symmetric around the parameter λ.
C) skewed to the right.
D) discrete so it lacks any definable shape.
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   If a company adds an additional identical server to its M/M/1 system, making an M/M/2 system, what happens to a customer's average service time?</strong> A) increases B) decreases C) it is unchanged D) depends on the arrival rate <div style=padding-top: 35px>
If a company adds an additional identical server to its M/M/1 system, making an M/M/2 system, what happens to a customer's average service time?

A) increases
B) decreases
C) it is unchanged
D) depends on the arrival rate
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   An arrival process is memoryless if</strong> A) the time until the next arrival depends on the time elapsed since the last arrival. B) the time until the next arrival is based on the time elapsed since the last arrival. C) the time until the next arrival does not depend on the time elapsed since the last arrival. D) the time until the next arrival is based on the arrival rate. <div style=padding-top: 35px>
An arrival process is memoryless if

A) the time until the next arrival depends on the time elapsed since the last arrival.
B) the time until the next arrival is based on the time elapsed since the last arrival.
C) the time until the next arrival does not depend on the time elapsed since the last arrival.
D) the time until the next arrival is based on the arrival rate.
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The standardized queuing system notation such as M/M/1 or M/G/2 is referred to as</strong> A) Kendall notation. B) Erlang notation. C) Poisson notation. D) Queuing notation. <div style=padding-top: 35px> <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The standardized queuing system notation such as M/M/1 or M/G/2 is referred to as</strong> A) Kendall notation. B) Erlang notation. C) Poisson notation. D) Queuing notation. <div style=padding-top: 35px>
The standardized queuing system notation such as M/M/1 or M/G/2 is referred to as

A) Kendall notation.
B) Erlang notation.
C) Poisson notation.
D) Queuing notation.
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   The service times for a grocery store with one checkout line have a mean of 3 minutes and a standard deviation of 20 seconds. Customer arrivals at the checkout stand follow a Poisson distribution. What type of system is it?</strong> A) M/G/1 B) M/D/1 C) G/M/1 D) M/M/1 <div style=padding-top: 35px>
The service times for a grocery store with one checkout line have a mean of 3 minutes and a standard deviation of 20 seconds. Customer arrivals at the checkout stand follow a Poisson distribution. What type of system is it?

A) M/G/1
B) M/D/1
C) G/M/1
D) M/M/1
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     For a Poisson random variable, λ represents the ____ number of arrivals per time period</strong> A) maximum B) minimum C) average D) standard deviation of <div style=padding-top: 35px> <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     For a Poisson random variable, λ represents the ____ number of arrivals per time period</strong> A) maximum B) minimum C) average D) standard deviation of <div style=padding-top: 35px>
For a Poisson random variable, λ represents the ____ number of arrivals per time period

A) maximum
B) minimum
C) average
D) standard deviation of
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   If cell B2 contains the value for μ and cell A5 contains the value for T, what formula should go in cell B5 to compute the P(Service time) ≤ T for this exponential distribution?</strong> A) =1-EXP($B$2*A5) B) =EXP(-$B$2*A5) C) =1-EXP(-$B$2) D) =1-EXP(-$B$2*A5) <div style=padding-top: 35px>
If cell B2 contains the value for μ and cell A5 contains the value for T, what formula should go in cell B5 to compute the P(Service time) ≤ T for this exponential distribution?

A) =1-EXP($B$2*A5)
B) =EXP(-$B$2*A5)
C) =1-EXP(-$B$2)
D) =1-EXP(-$B$2*A5)
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   A store is considering adding a second clerk. The customer arrival rate at this new server will be</strong> A) twice the old rate. B) half the old rate. C) the same as the old rate. D) unpredictable. <div style=padding-top: 35px>
A store is considering adding a second clerk. The customer arrival rate at this new server will be

A) twice the old rate.
B) half the old rate.
C) the same as the old rate.
D) unpredictable.
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     One reason to use queuing models in business is</strong> A) to trade-off the cost of providing service and the cost of customer dissatisfaction B) to maximize the number of service providers C) to minimize the cost of providing service D) all of the above <div style=padding-top: 35px> <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     One reason to use queuing models in business is</strong> A) to trade-off the cost of providing service and the cost of customer dissatisfaction B) to maximize the number of service providers C) to minimize the cost of providing service D) all of the above <div style=padding-top: 35px>
One reason to use queuing models in business is

A) to trade-off the cost of providing service and the cost of customer dissatisfaction
B) to maximize the number of service providers
C) to minimize the cost of providing service
D) all of the above
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Refer to Exhibit 13.1. What is the probability that a customer must wait in queue before being served?</strong> A) 0.00 B) 0.25 C) 0.75 D) 1.00 <div style=padding-top: 35px>
Refer to Exhibit 13.1. What is the probability that a customer must wait in queue before being served?

A) 0.00
B) 0.25
C) 0.75
D) 1.00
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   What is the formula for the probability of x arrivals, p(x), under a Poisson distribution with arrival rate λ?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
What is the formula for the probability of x arrivals, p(x), under a Poisson distribution with arrival rate λ?

A) <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   What is the formula for the probability of x arrivals, p(x), under a Poisson distribution with arrival rate λ?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   What is the formula for the probability of x arrivals, p(x), under a Poisson distribution with arrival rate λ?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   What is the formula for the probability of x arrivals, p(x), under a Poisson distribution with arrival rate λ?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   What is the formula for the probability of x arrivals, p(x), under a Poisson distribution with arrival rate λ?</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     Which of the following is a reason to employ queuing theory?</strong> A) To reduce customer wait time in line. B) To reduce service times. C) To generate more arrivals to the system. D) To reduce worker idle time in line. <div style=padding-top: 35px> <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     Which of the following is a reason to employ queuing theory?</strong> A) To reduce customer wait time in line. B) To reduce service times. C) To generate more arrivals to the system. D) To reduce worker idle time in line. <div style=padding-top: 35px>
Which of the following is a reason to employ queuing theory?

A) To reduce customer wait time in line.
B) To reduce service times.
C) To generate more arrivals to the system.
D) To reduce worker idle time in line.
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Which type of queuing system are you likely to encounter at a Wendy's restaurant?</strong> A) Single waiting line, single service station. B) Multiple waiting lines, single service station. C) Single waiting line, multiple service stations. D) Multiple waiting lines, multiple service stations. <div style=padding-top: 35px>
Which type of queuing system are you likely to encounter at a Wendy's restaurant?

A) Single waiting line, single service station.
B) Multiple waiting lines, single service station.
C) Single waiting line, multiple service stations.
D) Multiple waiting lines, multiple service stations.
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Which type of queuing system are you likely to encounter at an ATM?</strong> A) Single waiting line, single service station. B) Multiple waiting lines, single service station. C) Single waiting line, multiple service stations. D) Multiple waiting lines, multiple service stations. <div style=padding-top: 35px>
Which type of queuing system are you likely to encounter at an ATM?

A) Single waiting line, single service station.
B) Multiple waiting lines, single service station.
C) Single waiting line, multiple service stations.
D) Multiple waiting lines, multiple service stations.
سؤال
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The number of arrivals to a store follows a Poisson distribution with mean λ = 10/hour. What is the mean inter-arrival time?</strong> A) 6 seconds B) 6 minutes C) 10 minutes D) 10 hours <div style=padding-top: 35px> <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The number of arrivals to a store follows a Poisson distribution with mean λ = 10/hour. What is the mean inter-arrival time?</strong> A) 6 seconds B) 6 minutes C) 10 minutes D) 10 hours <div style=padding-top: 35px>
The number of arrivals to a store follows a Poisson distribution with mean λ = 10/hour. What is the mean inter-arrival time?

A) 6 seconds
B) 6 minutes
C) 10 minutes
D) 10 hours
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   A jockey refers to</strong> A) a customer who refuses to join the queue. B) a customer who refuses service by a specific server. C) a customer who joins the queue but leaves before service is complete. D) a customer who switches between queues in the system. <div style=padding-top: 35px>
A jockey refers to

A) a customer who refuses to join the queue.
B) a customer who refuses service by a specific server.
C) a customer who joins the queue but leaves before service is complete.
D) a customer who switches between queues in the system.
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   A doctor's office only has 8 chairs. The doctor's service times and customer inter-arrival times are exponentially distributed. What type of system is it?</strong> A) M/M/1 B) M/M/8 C) M/M/1 with Finite Queue D) M/M/1 with Finite Population <div style=padding-top: 35px>
A doctor's office only has 8 chairs. The doctor's service times and customer inter-arrival times are exponentially distributed. What type of system is it?

A) M/M/1
B) M/M/8
C) M/M/1 with Finite Queue
D) M/M/1 with Finite Population
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   The M/M/s model with finite capacity queue can be used to model</strong> A) a machine breakdown process in a shop with 10 identical machines B) traffic in a dentist's office C) a process of patient departure from a dentist's office D) a process of installing new machines in a shop <div style=padding-top: 35px>
The M/M/s model with finite capacity queue can be used to model

A) a machine breakdown process in a shop with 10 identical machines
B) traffic in a dentist's office
C) a process of patient departure from a dentist's office
D) a process of installing new machines in a shop
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Which type of queuing system are you likely to encounter at a grocery store?</strong> A) Single waiting line, single service station. B) Multiple waiting lines, single service station. C) Single waiting line, multiple service stations. D) Multiple waiting lines, multiple service stations. <div style=padding-top: 35px>
Which type of queuing system are you likely to encounter at a grocery store?

A) Single waiting line, single service station.
B) Multiple waiting lines, single service station.
C) Single waiting line, multiple service stations.
D) Multiple waiting lines, multiple service stations.
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   In the Kendall notation M/G/4, M stands for</strong> A) memoryless arrival distribution B) memoryless departure distribution C) memoryless arrival and departure distributions D) none of the above <div style=padding-top: 35px>
In the Kendall notation M/G/4, M stands for

A) memoryless arrival distribution
B) memoryless departure distribution
C) memoryless arrival and departure distributions
D) none of the above
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   A renege refers to</strong> A) a customer who refuses to join the queue. B) a customer who refuses service by a specific server. C) a customer who joins the queue but leaves before service is complete. D) a customer who requires extra service time. <div style=padding-top: 35px>
A renege refers to

A) a customer who refuses to join the queue.
B) a customer who refuses service by a specific server.
C) a customer who joins the queue but leaves before service is complete.
D) a customer who requires extra service time.
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Refer to Exhibit 13.1. What is the probability that a customer can go directly into service without waiting in line?</strong> A) 0.00 B) 0.25 C) 0.75 D) 1.00 <div style=padding-top: 35px>
Refer to Exhibit 13.1. What is the probability that a customer can go directly into service without waiting in line?

A) 0.00
B) 0.25
C) 0.75
D) 1.00
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   If a service system has a constant service time, Poisson arrival rates and 2 servers its Kendall notation is</strong> A) P/D/2 B) M/D/2 C) M/D/1 D) G/D/2 <div style=padding-top: 35px>
If a service system has a constant service time, Poisson arrival rates and 2 servers its Kendall notation is

A) P/D/2
B) M/D/2
C) M/D/1
D) G/D/2
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Joe's Copy Center has 10 copiers. They break down at a rate of 0.02 copiers per hour and are sent to the service facility. What is the average arrival rate of broken copiers to the service facility?</strong> A) 0.02 B) 0.2 C) 10 D) It cannot be determined from the information provided. <div style=padding-top: 35px>
Joe's Copy Center has 10 copiers. They break down at a rate of 0.02 copiers per hour and are sent to the service facility. What is the average arrival rate of broken copiers to the service facility?

A) 0.02
B) 0.2
C) 10
D) It cannot be determined from the information provided.
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   A common queue discipline used in practice is</strong> A) first-in-first-out B) random C) last-in-first-out D) group arrival <div style=padding-top: 35px>
A common queue discipline used in practice is

A) first-in-first-out
B) random
C) last-in-first-out
D) group arrival
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Which of the following is the typical operating characteristic for the probability an arriving unit has to wait for service?</strong> A) W<sub>p</sub> B) P<sub>0</sub> C) P<sub>w</sub> D) P<sub>n</sub> <div style=padding-top: 35px>
Which of the following is the typical operating characteristic for the probability an arriving unit has to wait for service?

A) Wp
B) P0
C) Pw
D) Pn
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Refer to Exhibit 13.1. How many customers will be in the store on average at any one time?</strong> A) 0.375 B) 0.50 C) 2.25 D) 3.00 <div style=padding-top: 35px>
Refer to Exhibit 13.1. How many customers will be in the store on average at any one time?

A) 0.375
B) 0.50
C) 2.25
D) 3.00
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   If the number of arrivals in a time period follow a Poisson distribution with mean λ then the inter-arrival times follow a(n) ____ distribution with mean ____.</strong> A) normal; μ B) constant; λ C) exponential; λ D) exponential; 1/λ <div style=padding-top: 35px>
If the number of arrivals in a time period follow a Poisson distribution with mean λ then the inter-arrival times follow a(n) ____ distribution with mean ____.

A) normal; μ
B) constant; λ
C) exponential; λ
D) exponential; 1/λ
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   A company has recorded the following list of service rates (customers/hour) for one of its servers. What is the mean service time for this server? ​ Customers / hour: 4, 4, 5, 6, 5, 4, 3, 4, 3, 5, 5, 6 ​</strong> A) 0.22 min B) 1.11 min C) 4.5 min D) 13.3 min <div style=padding-top: 35px>
A company has recorded the following list of service rates (customers/hour) for one of its servers. What is the mean service time for this server? ​
Customers / hour: 4, 4, 5, 6, 5, 4, 3, 4, 3, 5, 5, 6

A) 0.22 min
B) 1.11 min
C) 4.5 min
D) 13.3 min
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   The M/M/s model with finite population can be used to model</strong> A) a machine breakdown process in a shop with 10 identical machines B) a process of patient arrival to a dentist's office C) a process of patient departure from a dentist's office D) a process of installing new machines in a shop <div style=padding-top: 35px>
The M/M/s model with finite population can be used to model

A) a machine breakdown process in a shop with 10 identical machines
B) a process of patient arrival to a dentist's office
C) a process of patient departure from a dentist's office
D) a process of installing new machines in a shop
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   The M/D/1 model results can be derived from which of the following systems?</strong> A) M/M/1 with λ = 0 B) M/G/1 with μ = 0 C) M/G/1 with σ = 0 D) M/M/2 with finite queue length. <div style=padding-top: 35px>
The M/D/1 model results can be derived from which of the following systems?

A) M/M/1 with λ = 0
B) M/G/1 with μ = 0
C) M/G/1 with σ = 0
D) M/M/2 with finite queue length.
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   What is the probability that it will take less than or equal to 0.25 hours to service any call based on the following exponential probability distribution with rate μ = 5?   ​  </strong> A) 0.00 B) 0.71 C) 0.92 D) 1.00 <div style=padding-top: 35px>
What is the probability that it will take less than or equal to 0.25 hours to service any call based on the following exponential probability distribution with rate μ = 5? <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   What is the probability that it will take less than or equal to 0.25 hours to service any call based on the following exponential probability distribution with rate μ = 5?   ​  </strong> A) 0.00 B) 0.71 C) 0.92 D) 1.00 <div style=padding-top: 35px> <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   What is the probability that it will take less than or equal to 0.25 hours to service any call based on the following exponential probability distribution with rate μ = 5?   ​  </strong> A) 0.00 B) 0.71 C) 0.92 D) 1.00 <div style=padding-top: 35px>

A) 0.00
B) 0.71
C) 0.92
D) 1.00
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Refer to Exhibit 13.1. What is the average amount of time spent waiting in line?</strong> A) 0.375 B) 0.50 C) 2.25 D) 3.00 <div style=padding-top: 35px>
Refer to Exhibit 13.1. What is the average amount of time spent waiting in line?

A) 0.375
B) 0.50
C) 2.25
D) 3.00
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   To find steady-state values for the M/M/S queuing system, which of the following statements must be true about the arrival rate?</strong> A) λ < s μ B) λ − s = μ C) λ > s μ D) λ = s μ <div style=padding-top: 35px>
To find steady-state values for the M/M/S queuing system, which of the following statements must be true about the arrival rate?

A) λ < s μ
B) λ − s = μ
C) λ > s μ
D) λ = s μ
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Which of the following is the typical operating characteristic for average number of units in a queue?</strong> A) W B) W<sub>q</sub> C) L D) L<sub>q</sub> <div style=padding-top: 35px>
Which of the following is the typical operating characteristic for average number of units in a queue?

A) W
B) Wq
C) L
D) Lq
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Which of the following is the typical operating characteristic for average time a unit spends waiting for service?</strong> A) W B) W<sub>q</sub> C) L D) L<sub>q</sub> <div style=padding-top: 35px>
Which of the following is the typical operating characteristic for average time a unit spends waiting for service?

A) W
B) Wq
C) L
D) Lq
سؤال
Exhibit 13.6
The following questions refer to the information and output below.
The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.6 The following questions refer to the information and output below. The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.6. What is the Kendall notation for this system?<div style=padding-top: 35px>
Refer to Exhibit 13.6. What is the Kendall notation for this system?
سؤال
Exhibit 13.6
The following questions refer to the information and output below.
The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.6 The following questions refer to the information and output below. The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.6. Based on this report what is the average number of students waiting to be helped?<div style=padding-top: 35px>
Refer to Exhibit 13.6. Based on this report what is the average number of students waiting to be helped?
سؤال
Exhibit 13.6
The following questions refer to the information and output below.
The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.6 The following questions refer to the information and output below. The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information.   The customer service desk at Joe's Discount Electronics store receives 5 customers per hour on average. On average, each customer requires 10 minutes for service. The customer service desk is staffed by a single person. What is the average time a customer spends in the customer service area if modeled as an M/M/1 queuing system?<div style=padding-top: 35px>
The customer service desk at Joe's Discount Electronics store receives 5 customers per hour on average. On average, each customer requires 10 minutes for service. The customer service desk is staffed by a single person. What is the average time a customer spends in the customer service area if modeled as an M/M/1 queuing system?
سؤال
Exhibit 13.3
The following questions refer to the information below.
A company has recorded the following customer inter-arrival times and service times for 10 customers at one of its single teller service lines. Assume the data are exponentially distributed and the 10 data points represent a reasonable sample. Exhibit 13.3 The following questions refer to the information below. A company has recorded the following customer inter-arrival times and service times for 10 customers at one of its single teller service lines. Assume the data are exponentially distributed and the 10 data points represent a reasonable sample.   Refer to Exhibit 13.3. What is the average number of customers in the system?<div style=padding-top: 35px>
Refer to Exhibit 13.3. What is the average number of customers in the system?
سؤال
Exhibit 13.5
The following questions refer to the information and output below.
A computer printer in a large administrative office has a printer buffer (memory to store printing jobs) capacity of 3 jobs. If the buffer is full when a user wants to print a file the user is told that the job cannot be printed and to try again later. There are so many users in this office that we can assume that there is an infinite calling population. Jobs arrive at the printer at a Poisson rate of 55 jobs per hour and take an average of 1 minute to print. Printing times are exponentially distributed. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.5 The following questions refer to the information and output below. A computer printer in a large administrative office has a printer buffer (memory to store printing jobs) capacity of 3 jobs. If the buffer is full when a user wants to print a file the user is told that the job cannot be printed and to try again later. There are so many users in this office that we can assume that there is an infinite calling population. Jobs arrive at the printer at a Poisson rate of 55 jobs per hour and take an average of 1 minute to print. Printing times are exponentially distributed. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.5. Based on this report what is the probability that a computer user will be told to resubmit a print job at a later time?<div style=padding-top: 35px>
Refer to Exhibit 13.5. Based on this report what is the probability that a computer user will be told to resubmit a print job at a later time?
سؤال
Exhibit 13.4
The following questions refer to the information and output below.
A grocery store can serve an average of 360 customers per hour. The service times are exponentially distributed. The store has 4 checkout lines each of which serves 90 customers per hour. Customers arrive at the store at a Poisson rate of 240 customers per hour. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.4 The following questions refer to the information and output below. A grocery store can serve an average of 360 customers per hour. The service times are exponentially distributed. The store has 4 checkout lines each of which serves 90 customers per hour. Customers arrive at the store at a Poisson rate of 240 customers per hour. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.4. What is the Kendall notation for this system?<div style=padding-top: 35px>
Refer to Exhibit 13.4. What is the Kendall notation for this system?
سؤال
A company has recorded the following list of service rates (customers/hour) for one of its servers. What is the mean service time for this server? A company has recorded the following list of service rates (customers/hour) for one of its servers. What is the mean service time for this server?  <div style=padding-top: 35px>
سؤال
Exhibit 13.7
The following questions refer to the information and output below.
A tax accountant has found that the time to serve a customer has a mean of 30 minutes (or 0.5 hours) and a standard deviation of 6 minutes (or 0.1 hours). Customer arrivals follow a Poisson distribution with an average of 60 minutes between arrivals. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.7 The following questions refer to the information and output below. A tax accountant has found that the time to serve a customer has a mean of 30 minutes (or 0.5 hours) and a standard deviation of 6 minutes (or 0.1 hours). Customer arrivals follow a Poisson distribution with an average of 60 minutes between arrivals. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.7. Based on this report how long does a customer spend at the tax accountant's office?<div style=padding-top: 35px>
Refer to Exhibit 13.7. Based on this report how long does a customer spend at the tax accountant's office?
سؤال
Exhibit 13.4
The following questions refer to the information and output below.
A grocery store can serve an average of 360 customers per hour. The service times are exponentially distributed. The store has 4 checkout lines each of which serves 90 customers per hour. Customers arrive at the store at a Poisson rate of 240 customers per hour. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.4 The following questions refer to the information and output below. A grocery store can serve an average of 360 customers per hour. The service times are exponentially distributed. The store has 4 checkout lines each of which serves 90 customers per hour. Customers arrive at the store at a Poisson rate of 240 customers per hour. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.4. Based on this report what percent of the time is a grocery clerk busy serving a customer?<div style=padding-top: 35px>
Refer to Exhibit 13.4. Based on this report what percent of the time is a grocery clerk busy serving a customer?
سؤال
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   The M/D/1 model with infinite capacity queue can be used to model</strong> A) a machine breakdown process in a shop with 10 identical machines B) a process of washing a car in an automatic car wash C) a process of patient departure from a dentist's office D) a process of installing new machines in a shop <div style=padding-top: 35px>
The M/D/1 model with infinite capacity queue can be used to model

A) a machine breakdown process in a shop with 10 identical machines
B) a process of washing a car in an automatic car wash
C) a process of patient departure from a dentist's office
D) a process of installing new machines in a shop
سؤال
Exhibit 13.2
The following questions refer to the information and output below.
A barber shop has one barber who can give 12 haircuts per hour. Customers arrive at a rate of 8 customers per hour. Customer inter-arrival times and service times are exponentially distributed. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.2 The following questions refer to the information and output below. A barber shop has one barber who can give 12 haircuts per hour. Customers arrive at a rate of 8 customers per hour. Customer inter-arrival times and service times are exponentially distributed. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.2. Based on this report what is the average number of customers waiting for a haircut?<div style=padding-top: 35px>
Refer to Exhibit 13.2. Based on this report what is the average number of customers waiting for a haircut?
سؤال
The customer service desk at Joe's Discount Electronics store receives 5 customers per hour on average. On average, each customer requires 10 minutes for service. The customer service desk is staffed by a single person. What is the average number of customers in the customer service area, if modeled as an M/M/1 queuing system?
سؤال
A grocery clerk can serve 20 customers per hour on average and the service time follows an exponential distribution. What is the probability that a customer's service time is less than 2 minutes?
سؤال
Exhibit 13.6
The following questions refer to the information and output below.
The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.6 The following questions refer to the information and output below. The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information.   Customers arrive at a store randomly, following a Poisson distribution at an average rate of 20 per hour. What is the probability of exactly 0, 1 2, and 3 arrivals in a 15 minute period?<div style=padding-top: 35px>
Customers arrive at a store randomly, following a Poisson distribution at an average rate of 20 per hour. What is the probability of exactly 0, 1 2, and 3 arrivals in a 15 minute period?
سؤال
Exhibit 13.7
The following questions refer to the information and output below.
A tax accountant has found that the time to serve a customer has a mean of 30 minutes (or 0.5 hours) and a standard deviation of 6 minutes (or 0.1 hours). Customer arrivals follow a Poisson distribution with an average of 60 minutes between arrivals. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.7 The following questions refer to the information and output below. A tax accountant has found that the time to serve a customer has a mean of 30 minutes (or 0.5 hours) and a standard deviation of 6 minutes (or 0.1 hours). Customer arrivals follow a Poisson distribution with an average of 60 minutes between arrivals. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.7. What is the Kendall notation for this system?<div style=padding-top: 35px>
Refer to Exhibit 13.7. What is the Kendall notation for this system?
سؤال
Exhibit 13.6
The following questions refer to the information and output below.
The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.6 The following questions refer to the information and output below. The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.6. Based on this report how much time do students spend getting help before they can resume work on their computers?<div style=padding-top: 35px>
Refer to Exhibit 13.6. Based on this report how much time do students spend getting help before they can resume work on their computers?
سؤال
Exhibit 13.2
The following questions refer to the information and output below.
A barber shop has one barber who can give 12 haircuts per hour. Customers arrive at a rate of 8 customers per hour. Customer inter-arrival times and service times are exponentially distributed. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.2 The following questions refer to the information and output below. A barber shop has one barber who can give 12 haircuts per hour. Customers arrive at a rate of 8 customers per hour. Customer inter-arrival times and service times are exponentially distributed. The following queuing analysis spreadsheet was developed from this information.   Customers arrive at a store randomly, following a Poisson distribution at an average rate of 90 per hour. How many customers arrive per minute, on average?<div style=padding-top: 35px>
Customers arrive at a store randomly, following a Poisson distribution at an average rate of 90 per hour. How many customers arrive per minute, on average?
سؤال
Exhibit 13.5
The following questions refer to the information and output below.
A computer printer in a large administrative office has a printer buffer (memory to store printing jobs) capacity of 3 jobs. If the buffer is full when a user wants to print a file the user is told that the job cannot be printed and to try again later. There are so many users in this office that we can assume that there is an infinite calling population. Jobs arrive at the printer at a Poisson rate of 55 jobs per hour and take an average of 1 minute to print. Printing times are exponentially distributed. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.5 The following questions refer to the information and output below. A computer printer in a large administrative office has a printer buffer (memory to store printing jobs) capacity of 3 jobs. If the buffer is full when a user wants to print a file the user is told that the job cannot be printed and to try again later. There are so many users in this office that we can assume that there is an infinite calling population. Jobs arrive at the printer at a Poisson rate of 55 jobs per hour and take an average of 1 minute to print. Printing times are exponentially distributed. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.5. What is the Kendall notation for this system?<div style=padding-top: 35px>
Refer to Exhibit 13.5. What is the Kendall notation for this system?
سؤال
Exhibit 13.4
The following questions refer to the information and output below.
A grocery store can serve an average of 360 customers per hour. The service times are exponentially distributed. The store has 4 checkout lines each of which serves 90 customers per hour. Customers arrive at the store at a Poisson rate of 240 customers per hour. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.4 The following questions refer to the information and output below. A grocery store can serve an average of 360 customers per hour. The service times are exponentially distributed. The store has 4 checkout lines each of which serves 90 customers per hour. Customers arrive at the store at a Poisson rate of 240 customers per hour. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.4. Based on this report what is the average number of customers waiting for a checker?<div style=padding-top: 35px>
Refer to Exhibit 13.4. Based on this report what is the average number of customers waiting for a checker?
سؤال
Exhibit 13.3
The following questions refer to the information below.
A company has recorded the following customer inter-arrival times and service times for 10 customers at one of its single teller service lines. Assume the data are exponentially distributed and the 10 data points represent a reasonable sample. Exhibit 13.3 The following questions refer to the information below. A company has recorded the following customer inter-arrival times and service times for 10 customers at one of its single teller service lines. Assume the data are exponentially distributed and the 10 data points represent a reasonable sample.   Refer to Exhibit 13.3. What is the mean service rate per hour?<div style=padding-top: 35px>
Refer to Exhibit 13.3. What is the mean service rate per hour?
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Deck 13: Queuing Theory
1
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The objective in queuing problems is to find the service level that achieves an acceptable balance between the cost of providing service and customer satisfaction. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The objective in queuing problems is to find the service level that achieves an acceptable balance between the cost of providing service and customer satisfaction.
The objective in queuing problems is to find the service level that achieves an acceptable balance between the cost of providing service and customer satisfaction.
True
2
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     A situation where cars arrive at an intersection can be modeled as an M/D/s queue with finite capacity. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     A situation where cars arrive at an intersection can be modeled as an M/D/s queue with finite capacity.
A situation where cars arrive at an intersection can be modeled as an M/D/s queue with finite capacity.
False
3
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The amount of time a customer spends with the server is referred to as</strong> A) system time. B) queue time. C) service time. D) served time. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The amount of time a customer spends with the server is referred to as</strong> A) system time. B) queue time. C) service time. D) served time.
The amount of time a customer spends with the server is referred to as

A) system time.
B) queue time.
C) service time.
D) served time.
service time.
4
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     One way to improve performance of a queuing system from the customer perspective is to reduce the number of servers. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     One way to improve performance of a queuing system from the customer perspective is to reduce the number of servers.
One way to improve performance of a queuing system from the customer perspective is to reduce the number of servers.
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5
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     What is the service policy in the queuing systems presented in this chapter that is considered fair by the customers?</strong> A) FIFO B) LIFO C) FILO D) Priority <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     What is the service policy in the queuing systems presented in this chapter that is considered fair by the customers?</strong> A) FIFO B) LIFO C) FILO D) Priority
What is the service policy in the queuing systems presented in this chapter that is considered "fair" by the customers?

A) FIFO
B) LIFO
C) FILO
D) Priority
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6
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.      -If the number of arrivals in a given period of time follows a Poisson distribution with mean  , the interarrival times follow an exponential probability distribution with mean 1/λ Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.      -If the number of arrivals in a given period of time follows a Poisson distribution with mean  , the interarrival times follow an exponential probability distribution with mean 1/λ

-If the number of arrivals in a given period of time follows a Poisson distribution with mean Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.      -If the number of arrivals in a given period of time follows a Poisson distribution with mean  , the interarrival times follow an exponential probability distribution with mean 1/λ, the interarrival times follow an exponential probability distribution with mean 1/λ
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7
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     Which of the following best describes queuing theory?</strong> A) The study of arrival rates. B) The study of service times. C) The study of waiting lines. D) The evaluation of service time costs. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     Which of the following best describes queuing theory?</strong> A) The study of arrival rates. B) The study of service times. C) The study of waiting lines. D) The evaluation of service time costs.
Which of the following best describes queuing theory?

A) The study of arrival rates.
B) The study of service times.
C) The study of waiting lines.
D) The evaluation of service time costs.
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8
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     If the arrival process is modeled as a Poisson random variable with arrival rate λ, then the average time between arrivals is</strong> A) 1/μ B) 1/λ C) 1/λ<sup>2</sup> D) σ <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     If the arrival process is modeled as a Poisson random variable with arrival rate λ, then the average time between arrivals is</strong> A) 1/μ B) 1/λ C) 1/λ<sup>2</sup> D) σ
If the arrival process is modeled as a Poisson random variable with arrival rate λ, then the average time between arrivals is

A) 1/μ
B) 1/λ
C) 1/λ2
D) σ
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9
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The term queuing theory refers to the body of knowledge dealing with waiting lines. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The term queuing theory refers to the body of knowledge dealing with waiting lines.
The term queuing theory refers to the body of knowledge dealing with waiting lines.
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10
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The M in M/G/1 stands for</strong> A) Markovian inter-arrival times. B) Mendelian inter-arrival times. C) Mean inter-arrival times. D) Mathematical inter-arrival times. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The M in M/G/1 stands for</strong> A) Markovian inter-arrival times. B) Mendelian inter-arrival times. C) Mean inter-arrival times. D) Mathematical inter-arrival times.
The M in M/G/1 stands for

A) Markovian inter-arrival times.
B) Mendelian inter-arrival times.
C) Mean inter-arrival times.
D) Mathematical inter-arrival times.
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11
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     In a queuing problem, Wq > W. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     In a queuing problem, Wq > W.
In a queuing problem, Wq > W.
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12
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     If the service rate decreases as the arrival rate remains constant, then, in general</strong> A) customer waiting time increases. B) customer waiting time decreases. C) service costs increase. D) customer dissatisfaction decreases. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     If the service rate decreases as the arrival rate remains constant, then, in general</strong> A) customer waiting time increases. B) customer waiting time decreases. C) service costs increase. D) customer dissatisfaction decreases.
If the service rate decreases as the arrival rate remains constant, then, in general

A) customer waiting time increases.
B) customer waiting time decreases.
C) service costs increase.
D) customer dissatisfaction decreases.
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13
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     Joe's Copy Center has 10 copiers. They break down and require service quite often. Time between breakdowns follows an exponential distribution for each copier. The repair person services machines as quickly as possible, but the service time follows an exponential distribution. What type of system is it?</strong> A) M/M/1 with Finite Population B) M/M/1 with Finite Queue C) M/M/1 D) M/M/10 <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     Joe's Copy Center has 10 copiers. They break down and require service quite often. Time between breakdowns follows an exponential distribution for each copier. The repair person services machines as quickly as possible, but the service time follows an exponential distribution. What type of system is it?</strong> A) M/M/1 with Finite Population B) M/M/1 with Finite Queue C) M/M/1 D) M/M/10
Joe's Copy Center has 10 copiers. They break down and require service quite often. Time between breakdowns follows an exponential distribution for each copier. The repair person services machines as quickly as possible, but the service time follows an exponential distribution. What type of system is it?

A) M/M/1 with Finite Population
B) M/M/1 with Finite Queue
C) M/M/1
D) M/M/10
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14
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     What is the formula for P(t ≤ T) under the exponential distribution with rate μ?</strong> A) 1 − eμ<sup>T</sup> B) eμ<sup>T</sup> C) 1 − e−μ<sup>T</sup> D) 1 − e<sup>T</sup> <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     What is the formula for P(t ≤ T) under the exponential distribution with rate μ?</strong> A) 1 − eμ<sup>T</sup> B) eμ<sup>T</sup> C) 1 − e−μ<sup>T</sup> D) 1 − e<sup>T</sup>
What is the formula for P(t ≤ T) under the exponential distribution with rate μ?

A) 1 − eμT
B) eμT
C) 1 − e−μT
D) 1 − eT
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15
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     An arrival process is memoryless if the time until the next arrival occurs is inversely proportional to the time elapsed since the last arrival. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     An arrival process is memoryless if the time until the next arrival occurs is inversely proportional to the time elapsed since the last arrival.
An arrival process is memoryless if the time until the next arrival occurs is inversely proportional to the time elapsed since the last arrival.
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16
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The number of arrivals that occurs in a given time period represents a random variable in a queuing system. Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The number of arrivals that occurs in a given time period represents a random variable in a queuing system.
The number of arrivals that occurs in a given time period represents a random variable in a queuing system.
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17
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     A barber shop has one barber, a Poisson arrival rate and exponentially distributed service times. What is the Kendall notation for this system?</strong> A) M/M/E B) M/M/1 C) M/E/1 D) P/M/1 <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     A barber shop has one barber, a Poisson arrival rate and exponentially distributed service times. What is the Kendall notation for this system?</strong> A) M/M/E B) M/M/1 C) M/E/1 D) P/M/1
A barber shop has one barber, a Poisson arrival rate and exponentially distributed service times. What is the Kendall notation for this system?

A) M/M/E
B) M/M/1
C) M/E/1
D) P/M/1
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18
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The memoryless property is also referred to as the ____ property.</strong> A) Markov B) Erlang C) Poisson D) Normal <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The memoryless property is also referred to as the ____ property.</strong> A) Markov B) Erlang C) Poisson D) Normal
The memoryless property is also referred to as the ____ property.

A) Markov
B) Erlang
C) Poisson
D) Normal
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19
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     A balk refers to</strong> A) a customer who refuses to join the queue. B) a customer who refuses service by a specific server. C) a customer who joins the queue but leaves before service is complete. D) a customer who requires extra service time. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     A balk refers to</strong> A) a customer who refuses to join the queue. B) a customer who refuses service by a specific server. C) a customer who joins the queue but leaves before service is complete. D) a customer who requires extra service time.
A balk refers to

A) a customer who refuses to join the queue.
B) a customer who refuses service by a specific server.
C) a customer who joins the queue but leaves before service is complete.
D) a customer who requires extra service time.
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20
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     In the Kendall notation M/D/4, D stands for</strong> A) memoryless arrival distribution B) deterministic departure distribution C) memoryless arrival and departure distributions D) none of the above <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     In the Kendall notation M/D/4, D stands for</strong> A) memoryless arrival distribution B) deterministic departure distribution C) memoryless arrival and departure distributions D) none of the above
In the Kendall notation M/D/4, D stands for

A) memoryless arrival distribution
B) deterministic departure distribution
C) memoryless arrival and departure distributions
D) none of the above
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21
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   In the Kendall notation M/G/4, G stands for</strong> A) memoryless arrival distribution B) general departure distribution C) memoryless arrival and departure distributions D) none of the above
In the Kendall notation M/G/4, G stands for

A) memoryless arrival distribution
B) general departure distribution
C) memoryless arrival and departure distributions
D) none of the above
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22
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   In the Kendall notation M/G/4, the number 4 indicates</strong> A) the number of servers B) deterministic departure distribution C) memoryless arrival and departure distributions D) queue capacity
In the Kendall notation M/G/4, the number 4 indicates

A) the number of servers
B) deterministic departure distribution
C) memoryless arrival and departure distributions
D) queue capacity
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23
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   The Kendall notation for a queuing system with Poisson arrivals, exponential service and 3 service providers is</strong> A) M/M/3 B) M/G/1 C) G/G/3 D) G/G/1
The Kendall notation for a queuing system with Poisson arrivals, exponential service and 3 service providers is

A) M/M/3
B) M/G/1
C) G/G/3
D) G/G/1
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24
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   What is the mean arrival rate based on the following 8 arrival rate observations? ​ Number of arrivals per hour: 6, 5, 3, 4, 7, 6, 4, 5 ​</strong> A) 3 B) 4 C) 5 D) 6
What is the mean arrival rate based on the following 8 arrival rate observations? ​
Number of arrivals per hour: 6, 5, 3, 4, 7, 6, 4, 5

A) 3
B) 4
C) 5
D) 6
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25
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     A Poisson distribution shape can be described as</strong> A) slightly skewed to the left. B) symmetric around the parameter λ. C) skewed to the right. D) discrete so it lacks any definable shape. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     A Poisson distribution shape can be described as</strong> A) slightly skewed to the left. B) symmetric around the parameter λ. C) skewed to the right. D) discrete so it lacks any definable shape.
A Poisson distribution shape can be described as

A) slightly skewed to the left.
B) symmetric around the parameter λ.
C) skewed to the right.
D) discrete so it lacks any definable shape.
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26
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   If a company adds an additional identical server to its M/M/1 system, making an M/M/2 system, what happens to a customer's average service time?</strong> A) increases B) decreases C) it is unchanged D) depends on the arrival rate
If a company adds an additional identical server to its M/M/1 system, making an M/M/2 system, what happens to a customer's average service time?

A) increases
B) decreases
C) it is unchanged
D) depends on the arrival rate
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27
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   An arrival process is memoryless if</strong> A) the time until the next arrival depends on the time elapsed since the last arrival. B) the time until the next arrival is based on the time elapsed since the last arrival. C) the time until the next arrival does not depend on the time elapsed since the last arrival. D) the time until the next arrival is based on the arrival rate.
An arrival process is memoryless if

A) the time until the next arrival depends on the time elapsed since the last arrival.
B) the time until the next arrival is based on the time elapsed since the last arrival.
C) the time until the next arrival does not depend on the time elapsed since the last arrival.
D) the time until the next arrival is based on the arrival rate.
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28
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The standardized queuing system notation such as M/M/1 or M/G/2 is referred to as</strong> A) Kendall notation. B) Erlang notation. C) Poisson notation. D) Queuing notation. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The standardized queuing system notation such as M/M/1 or M/G/2 is referred to as</strong> A) Kendall notation. B) Erlang notation. C) Poisson notation. D) Queuing notation.
The standardized queuing system notation such as M/M/1 or M/G/2 is referred to as

A) Kendall notation.
B) Erlang notation.
C) Poisson notation.
D) Queuing notation.
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29
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   The service times for a grocery store with one checkout line have a mean of 3 minutes and a standard deviation of 20 seconds. Customer arrivals at the checkout stand follow a Poisson distribution. What type of system is it?</strong> A) M/G/1 B) M/D/1 C) G/M/1 D) M/M/1
The service times for a grocery store with one checkout line have a mean of 3 minutes and a standard deviation of 20 seconds. Customer arrivals at the checkout stand follow a Poisson distribution. What type of system is it?

A) M/G/1
B) M/D/1
C) G/M/1
D) M/M/1
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30
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     For a Poisson random variable, λ represents the ____ number of arrivals per time period</strong> A) maximum B) minimum C) average D) standard deviation of <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     For a Poisson random variable, λ represents the ____ number of arrivals per time period</strong> A) maximum B) minimum C) average D) standard deviation of
For a Poisson random variable, λ represents the ____ number of arrivals per time period

A) maximum
B) minimum
C) average
D) standard deviation of
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31
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   If cell B2 contains the value for μ and cell A5 contains the value for T, what formula should go in cell B5 to compute the P(Service time) ≤ T for this exponential distribution?</strong> A) =1-EXP($B$2*A5) B) =EXP(-$B$2*A5) C) =1-EXP(-$B$2) D) =1-EXP(-$B$2*A5)
If cell B2 contains the value for μ and cell A5 contains the value for T, what formula should go in cell B5 to compute the P(Service time) ≤ T for this exponential distribution?

A) =1-EXP($B$2*A5)
B) =EXP(-$B$2*A5)
C) =1-EXP(-$B$2)
D) =1-EXP(-$B$2*A5)
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32
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   A store is considering adding a second clerk. The customer arrival rate at this new server will be</strong> A) twice the old rate. B) half the old rate. C) the same as the old rate. D) unpredictable.
A store is considering adding a second clerk. The customer arrival rate at this new server will be

A) twice the old rate.
B) half the old rate.
C) the same as the old rate.
D) unpredictable.
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33
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     One reason to use queuing models in business is</strong> A) to trade-off the cost of providing service and the cost of customer dissatisfaction B) to maximize the number of service providers C) to minimize the cost of providing service D) all of the above <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     One reason to use queuing models in business is</strong> A) to trade-off the cost of providing service and the cost of customer dissatisfaction B) to maximize the number of service providers C) to minimize the cost of providing service D) all of the above
One reason to use queuing models in business is

A) to trade-off the cost of providing service and the cost of customer dissatisfaction
B) to maximize the number of service providers
C) to minimize the cost of providing service
D) all of the above
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34
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Refer to Exhibit 13.1. What is the probability that a customer must wait in queue before being served?</strong> A) 0.00 B) 0.25 C) 0.75 D) 1.00
Refer to Exhibit 13.1. What is the probability that a customer must wait in queue before being served?

A) 0.00
B) 0.25
C) 0.75
D) 1.00
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35
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   What is the formula for the probability of x arrivals, p(x), under a Poisson distribution with arrival rate λ?</strong> A)   B)   C)   D)
What is the formula for the probability of x arrivals, p(x), under a Poisson distribution with arrival rate λ?

A) <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   What is the formula for the probability of x arrivals, p(x), under a Poisson distribution with arrival rate λ?</strong> A)   B)   C)   D)
B) <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   What is the formula for the probability of x arrivals, p(x), under a Poisson distribution with arrival rate λ?</strong> A)   B)   C)   D)
C) <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   What is the formula for the probability of x arrivals, p(x), under a Poisson distribution with arrival rate λ?</strong> A)   B)   C)   D)
D) <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   What is the formula for the probability of x arrivals, p(x), under a Poisson distribution with arrival rate λ?</strong> A)   B)   C)   D)
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k this deck
36
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     Which of the following is a reason to employ queuing theory?</strong> A) To reduce customer wait time in line. B) To reduce service times. C) To generate more arrivals to the system. D) To reduce worker idle time in line. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     Which of the following is a reason to employ queuing theory?</strong> A) To reduce customer wait time in line. B) To reduce service times. C) To generate more arrivals to the system. D) To reduce worker idle time in line.
Which of the following is a reason to employ queuing theory?

A) To reduce customer wait time in line.
B) To reduce service times.
C) To generate more arrivals to the system.
D) To reduce worker idle time in line.
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k this deck
37
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Which type of queuing system are you likely to encounter at a Wendy's restaurant?</strong> A) Single waiting line, single service station. B) Multiple waiting lines, single service station. C) Single waiting line, multiple service stations. D) Multiple waiting lines, multiple service stations.
Which type of queuing system are you likely to encounter at a Wendy's restaurant?

A) Single waiting line, single service station.
B) Multiple waiting lines, single service station.
C) Single waiting line, multiple service stations.
D) Multiple waiting lines, multiple service stations.
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k this deck
38
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Which type of queuing system are you likely to encounter at an ATM?</strong> A) Single waiting line, single service station. B) Multiple waiting lines, single service station. C) Single waiting line, multiple service stations. D) Multiple waiting lines, multiple service stations.
Which type of queuing system are you likely to encounter at an ATM?

A) Single waiting line, single service station.
B) Multiple waiting lines, single service station.
C) Single waiting line, multiple service stations.
D) Multiple waiting lines, multiple service stations.
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k this deck
39
Exhibit 12.5
The following questions use the information below.
The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem. <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The number of arrivals to a store follows a Poisson distribution with mean λ = 10/hour. What is the mean inter-arrival time?</strong> A) 6 seconds B) 6 minutes C) 10 minutes D) 10 hours <strong>Exhibit 12.5 The following questions use the information below. The owner of Sal's Italian Restaurant wants to study the growth of his business using simulation. He is interested in simulating the number of customers and the amount ordered by customers each month. He currently serves 1000 customers per month and feels this can vary uniformly between a decrease of as much as 5% and an increase of up to 9%. The bill for each customer is a normally distributed random variable with a mean of $20 and a standard deviation of $5. The average order has been increasing steadily over the years and the owner expects the mean order will increase by 2% per month. You have created the following spreadsheet to simulate the problem.     The number of arrivals to a store follows a Poisson distribution with mean λ = 10/hour. What is the mean inter-arrival time?</strong> A) 6 seconds B) 6 minutes C) 10 minutes D) 10 hours
The number of arrivals to a store follows a Poisson distribution with mean λ = 10/hour. What is the mean inter-arrival time?

A) 6 seconds
B) 6 minutes
C) 10 minutes
D) 10 hours
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k this deck
40
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   A jockey refers to</strong> A) a customer who refuses to join the queue. B) a customer who refuses service by a specific server. C) a customer who joins the queue but leaves before service is complete. D) a customer who switches between queues in the system.
A jockey refers to

A) a customer who refuses to join the queue.
B) a customer who refuses service by a specific server.
C) a customer who joins the queue but leaves before service is complete.
D) a customer who switches between queues in the system.
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k this deck
41
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   A doctor's office only has 8 chairs. The doctor's service times and customer inter-arrival times are exponentially distributed. What type of system is it?</strong> A) M/M/1 B) M/M/8 C) M/M/1 with Finite Queue D) M/M/1 with Finite Population
A doctor's office only has 8 chairs. The doctor's service times and customer inter-arrival times are exponentially distributed. What type of system is it?

A) M/M/1
B) M/M/8
C) M/M/1 with Finite Queue
D) M/M/1 with Finite Population
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k this deck
42
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   The M/M/s model with finite capacity queue can be used to model</strong> A) a machine breakdown process in a shop with 10 identical machines B) traffic in a dentist's office C) a process of patient departure from a dentist's office D) a process of installing new machines in a shop
The M/M/s model with finite capacity queue can be used to model

A) a machine breakdown process in a shop with 10 identical machines
B) traffic in a dentist's office
C) a process of patient departure from a dentist's office
D) a process of installing new machines in a shop
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افتح القفل للوصول البطاقات البالغ عددها 97 في هذه المجموعة.
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k this deck
43
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Which type of queuing system are you likely to encounter at a grocery store?</strong> A) Single waiting line, single service station. B) Multiple waiting lines, single service station. C) Single waiting line, multiple service stations. D) Multiple waiting lines, multiple service stations.
Which type of queuing system are you likely to encounter at a grocery store?

A) Single waiting line, single service station.
B) Multiple waiting lines, single service station.
C) Single waiting line, multiple service stations.
D) Multiple waiting lines, multiple service stations.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 97 في هذه المجموعة.
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k this deck
44
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   In the Kendall notation M/G/4, M stands for</strong> A) memoryless arrival distribution B) memoryless departure distribution C) memoryless arrival and departure distributions D) none of the above
In the Kendall notation M/G/4, M stands for

A) memoryless arrival distribution
B) memoryless departure distribution
C) memoryless arrival and departure distributions
D) none of the above
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k this deck
45
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   A renege refers to</strong> A) a customer who refuses to join the queue. B) a customer who refuses service by a specific server. C) a customer who joins the queue but leaves before service is complete. D) a customer who requires extra service time.
A renege refers to

A) a customer who refuses to join the queue.
B) a customer who refuses service by a specific server.
C) a customer who joins the queue but leaves before service is complete.
D) a customer who requires extra service time.
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k this deck
46
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Refer to Exhibit 13.1. What is the probability that a customer can go directly into service without waiting in line?</strong> A) 0.00 B) 0.25 C) 0.75 D) 1.00
Refer to Exhibit 13.1. What is the probability that a customer can go directly into service without waiting in line?

A) 0.00
B) 0.25
C) 0.75
D) 1.00
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k this deck
47
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   If a service system has a constant service time, Poisson arrival rates and 2 servers its Kendall notation is</strong> A) P/D/2 B) M/D/2 C) M/D/1 D) G/D/2
If a service system has a constant service time, Poisson arrival rates and 2 servers its Kendall notation is

A) P/D/2
B) M/D/2
C) M/D/1
D) G/D/2
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k this deck
48
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Joe's Copy Center has 10 copiers. They break down at a rate of 0.02 copiers per hour and are sent to the service facility. What is the average arrival rate of broken copiers to the service facility?</strong> A) 0.02 B) 0.2 C) 10 D) It cannot be determined from the information provided.
Joe's Copy Center has 10 copiers. They break down at a rate of 0.02 copiers per hour and are sent to the service facility. What is the average arrival rate of broken copiers to the service facility?

A) 0.02
B) 0.2
C) 10
D) It cannot be determined from the information provided.
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k this deck
49
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   A common queue discipline used in practice is</strong> A) first-in-first-out B) random C) last-in-first-out D) group arrival
A common queue discipline used in practice is

A) first-in-first-out
B) random
C) last-in-first-out
D) group arrival
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k this deck
50
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Which of the following is the typical operating characteristic for the probability an arriving unit has to wait for service?</strong> A) W<sub>p</sub> B) P<sub>0</sub> C) P<sub>w</sub> D) P<sub>n</sub>
Which of the following is the typical operating characteristic for the probability an arriving unit has to wait for service?

A) Wp
B) P0
C) Pw
D) Pn
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k this deck
51
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Refer to Exhibit 13.1. How many customers will be in the store on average at any one time?</strong> A) 0.375 B) 0.50 C) 2.25 D) 3.00
Refer to Exhibit 13.1. How many customers will be in the store on average at any one time?

A) 0.375
B) 0.50
C) 2.25
D) 3.00
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k this deck
52
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   If the number of arrivals in a time period follow a Poisson distribution with mean λ then the inter-arrival times follow a(n) ____ distribution with mean ____.</strong> A) normal; μ B) constant; λ C) exponential; λ D) exponential; 1/λ
If the number of arrivals in a time period follow a Poisson distribution with mean λ then the inter-arrival times follow a(n) ____ distribution with mean ____.

A) normal; μ
B) constant; λ
C) exponential; λ
D) exponential; 1/λ
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k this deck
53
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   A company has recorded the following list of service rates (customers/hour) for one of its servers. What is the mean service time for this server? ​ Customers / hour: 4, 4, 5, 6, 5, 4, 3, 4, 3, 5, 5, 6 ​</strong> A) 0.22 min B) 1.11 min C) 4.5 min D) 13.3 min
A company has recorded the following list of service rates (customers/hour) for one of its servers. What is the mean service time for this server? ​
Customers / hour: 4, 4, 5, 6, 5, 4, 3, 4, 3, 5, 5, 6

A) 0.22 min
B) 1.11 min
C) 4.5 min
D) 13.3 min
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k this deck
54
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   The M/M/s model with finite population can be used to model</strong> A) a machine breakdown process in a shop with 10 identical machines B) a process of patient arrival to a dentist's office C) a process of patient departure from a dentist's office D) a process of installing new machines in a shop
The M/M/s model with finite population can be used to model

A) a machine breakdown process in a shop with 10 identical machines
B) a process of patient arrival to a dentist's office
C) a process of patient departure from a dentist's office
D) a process of installing new machines in a shop
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افتح القفل للوصول البطاقات البالغ عددها 97 في هذه المجموعة.
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k this deck
55
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   The M/D/1 model results can be derived from which of the following systems?</strong> A) M/M/1 with λ = 0 B) M/G/1 with μ = 0 C) M/G/1 with σ = 0 D) M/M/2 with finite queue length.
The M/D/1 model results can be derived from which of the following systems?

A) M/M/1 with λ = 0
B) M/G/1 with μ = 0
C) M/G/1 with σ = 0
D) M/M/2 with finite queue length.
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k this deck
56
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   What is the probability that it will take less than or equal to 0.25 hours to service any call based on the following exponential probability distribution with rate μ = 5?   ​  </strong> A) 0.00 B) 0.71 C) 0.92 D) 1.00
What is the probability that it will take less than or equal to 0.25 hours to service any call based on the following exponential probability distribution with rate μ = 5? <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   What is the probability that it will take less than or equal to 0.25 hours to service any call based on the following exponential probability distribution with rate μ = 5?   ​  </strong> A) 0.00 B) 0.71 C) 0.92 D) 1.00 <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   What is the probability that it will take less than or equal to 0.25 hours to service any call based on the following exponential probability distribution with rate μ = 5?   ​  </strong> A) 0.00 B) 0.71 C) 0.92 D) 1.00

A) 0.00
B) 0.71
C) 0.92
D) 1.00
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57
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Refer to Exhibit 13.1. What is the average amount of time spent waiting in line?</strong> A) 0.375 B) 0.50 C) 2.25 D) 3.00
Refer to Exhibit 13.1. What is the average amount of time spent waiting in line?

A) 0.375
B) 0.50
C) 2.25
D) 3.00
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58
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   To find steady-state values for the M/M/S queuing system, which of the following statements must be true about the arrival rate?</strong> A) λ < s μ B) λ − s = μ C) λ > s μ D) λ = s μ
To find steady-state values for the M/M/S queuing system, which of the following statements must be true about the arrival rate?

A) λ < s μ
B) λ − s = μ
C) λ > s μ
D) λ = s μ
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59
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Which of the following is the typical operating characteristic for average number of units in a queue?</strong> A) W B) W<sub>q</sub> C) L D) L<sub>q</sub>
Which of the following is the typical operating characteristic for average number of units in a queue?

A) W
B) Wq
C) L
D) Lq
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60
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   Which of the following is the typical operating characteristic for average time a unit spends waiting for service?</strong> A) W B) W<sub>q</sub> C) L D) L<sub>q</sub>
Which of the following is the typical operating characteristic for average time a unit spends waiting for service?

A) W
B) Wq
C) L
D) Lq
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61
Exhibit 13.6
The following questions refer to the information and output below.
The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.6 The following questions refer to the information and output below. The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.6. What is the Kendall notation for this system?
Refer to Exhibit 13.6. What is the Kendall notation for this system?
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62
Exhibit 13.6
The following questions refer to the information and output below.
The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.6 The following questions refer to the information and output below. The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.6. Based on this report what is the average number of students waiting to be helped?
Refer to Exhibit 13.6. Based on this report what is the average number of students waiting to be helped?
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63
Exhibit 13.6
The following questions refer to the information and output below.
The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.6 The following questions refer to the information and output below. The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information.   The customer service desk at Joe's Discount Electronics store receives 5 customers per hour on average. On average, each customer requires 10 minutes for service. The customer service desk is staffed by a single person. What is the average time a customer spends in the customer service area if modeled as an M/M/1 queuing system?
The customer service desk at Joe's Discount Electronics store receives 5 customers per hour on average. On average, each customer requires 10 minutes for service. The customer service desk is staffed by a single person. What is the average time a customer spends in the customer service area if modeled as an M/M/1 queuing system?
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64
Exhibit 13.3
The following questions refer to the information below.
A company has recorded the following customer inter-arrival times and service times for 10 customers at one of its single teller service lines. Assume the data are exponentially distributed and the 10 data points represent a reasonable sample. Exhibit 13.3 The following questions refer to the information below. A company has recorded the following customer inter-arrival times and service times for 10 customers at one of its single teller service lines. Assume the data are exponentially distributed and the 10 data points represent a reasonable sample.   Refer to Exhibit 13.3. What is the average number of customers in the system?
Refer to Exhibit 13.3. What is the average number of customers in the system?
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65
Exhibit 13.5
The following questions refer to the information and output below.
A computer printer in a large administrative office has a printer buffer (memory to store printing jobs) capacity of 3 jobs. If the buffer is full when a user wants to print a file the user is told that the job cannot be printed and to try again later. There are so many users in this office that we can assume that there is an infinite calling population. Jobs arrive at the printer at a Poisson rate of 55 jobs per hour and take an average of 1 minute to print. Printing times are exponentially distributed. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.5 The following questions refer to the information and output below. A computer printer in a large administrative office has a printer buffer (memory to store printing jobs) capacity of 3 jobs. If the buffer is full when a user wants to print a file the user is told that the job cannot be printed and to try again later. There are so many users in this office that we can assume that there is an infinite calling population. Jobs arrive at the printer at a Poisson rate of 55 jobs per hour and take an average of 1 minute to print. Printing times are exponentially distributed. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.5. Based on this report what is the probability that a computer user will be told to resubmit a print job at a later time?
Refer to Exhibit 13.5. Based on this report what is the probability that a computer user will be told to resubmit a print job at a later time?
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66
Exhibit 13.4
The following questions refer to the information and output below.
A grocery store can serve an average of 360 customers per hour. The service times are exponentially distributed. The store has 4 checkout lines each of which serves 90 customers per hour. Customers arrive at the store at a Poisson rate of 240 customers per hour. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.4 The following questions refer to the information and output below. A grocery store can serve an average of 360 customers per hour. The service times are exponentially distributed. The store has 4 checkout lines each of which serves 90 customers per hour. Customers arrive at the store at a Poisson rate of 240 customers per hour. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.4. What is the Kendall notation for this system?
Refer to Exhibit 13.4. What is the Kendall notation for this system?
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A company has recorded the following list of service rates (customers/hour) for one of its servers. What is the mean service time for this server? A company has recorded the following list of service rates (customers/hour) for one of its servers. What is the mean service time for this server?
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68
Exhibit 13.7
The following questions refer to the information and output below.
A tax accountant has found that the time to serve a customer has a mean of 30 minutes (or 0.5 hours) and a standard deviation of 6 minutes (or 0.1 hours). Customer arrivals follow a Poisson distribution with an average of 60 minutes between arrivals. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.7 The following questions refer to the information and output below. A tax accountant has found that the time to serve a customer has a mean of 30 minutes (or 0.5 hours) and a standard deviation of 6 minutes (or 0.1 hours). Customer arrivals follow a Poisson distribution with an average of 60 minutes between arrivals. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.7. Based on this report how long does a customer spend at the tax accountant's office?
Refer to Exhibit 13.7. Based on this report how long does a customer spend at the tax accountant's office?
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69
Exhibit 13.4
The following questions refer to the information and output below.
A grocery store can serve an average of 360 customers per hour. The service times are exponentially distributed. The store has 4 checkout lines each of which serves 90 customers per hour. Customers arrive at the store at a Poisson rate of 240 customers per hour. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.4 The following questions refer to the information and output below. A grocery store can serve an average of 360 customers per hour. The service times are exponentially distributed. The store has 4 checkout lines each of which serves 90 customers per hour. Customers arrive at the store at a Poisson rate of 240 customers per hour. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.4. Based on this report what percent of the time is a grocery clerk busy serving a customer?
Refer to Exhibit 13.4. Based on this report what percent of the time is a grocery clerk busy serving a customer?
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70
Exhibit 13.1
The following questions are based on the output below.
A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system. <strong>Exhibit 13.1 The following questions are based on the output below. A store currently operates its service system with 1 operator. Arrivals follow a Poisson distribution and service times are exponentially distributed. The following spreadsheet has been developed for the system.   The M/D/1 model with infinite capacity queue can be used to model</strong> A) a machine breakdown process in a shop with 10 identical machines B) a process of washing a car in an automatic car wash C) a process of patient departure from a dentist's office D) a process of installing new machines in a shop
The M/D/1 model with infinite capacity queue can be used to model

A) a machine breakdown process in a shop with 10 identical machines
B) a process of washing a car in an automatic car wash
C) a process of patient departure from a dentist's office
D) a process of installing new machines in a shop
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71
Exhibit 13.2
The following questions refer to the information and output below.
A barber shop has one barber who can give 12 haircuts per hour. Customers arrive at a rate of 8 customers per hour. Customer inter-arrival times and service times are exponentially distributed. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.2 The following questions refer to the information and output below. A barber shop has one barber who can give 12 haircuts per hour. Customers arrive at a rate of 8 customers per hour. Customer inter-arrival times and service times are exponentially distributed. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.2. Based on this report what is the average number of customers waiting for a haircut?
Refer to Exhibit 13.2. Based on this report what is the average number of customers waiting for a haircut?
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The customer service desk at Joe's Discount Electronics store receives 5 customers per hour on average. On average, each customer requires 10 minutes for service. The customer service desk is staffed by a single person. What is the average number of customers in the customer service area, if modeled as an M/M/1 queuing system?
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73
A grocery clerk can serve 20 customers per hour on average and the service time follows an exponential distribution. What is the probability that a customer's service time is less than 2 minutes?
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74
Exhibit 13.6
The following questions refer to the information and output below.
The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.6 The following questions refer to the information and output below. The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information.   Customers arrive at a store randomly, following a Poisson distribution at an average rate of 20 per hour. What is the probability of exactly 0, 1 2, and 3 arrivals in a 15 minute period?
Customers arrive at a store randomly, following a Poisson distribution at an average rate of 20 per hour. What is the probability of exactly 0, 1 2, and 3 arrivals in a 15 minute period?
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75
Exhibit 13.7
The following questions refer to the information and output below.
A tax accountant has found that the time to serve a customer has a mean of 30 minutes (or 0.5 hours) and a standard deviation of 6 minutes (or 0.1 hours). Customer arrivals follow a Poisson distribution with an average of 60 minutes between arrivals. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.7 The following questions refer to the information and output below. A tax accountant has found that the time to serve a customer has a mean of 30 minutes (or 0.5 hours) and a standard deviation of 6 minutes (or 0.1 hours). Customer arrivals follow a Poisson distribution with an average of 60 minutes between arrivals. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.7. What is the Kendall notation for this system?
Refer to Exhibit 13.7. What is the Kendall notation for this system?
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76
Exhibit 13.6
The following questions refer to the information and output below.
The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.6 The following questions refer to the information and output below. The university computer lab has 10 computers which are constantly being used by students. Users need help from the one lab assistant fairly often. Students ask for help at a Poisson rate of with an average of 4 requests per hour for any one computer. The assistant answers questions as quickly as possible and the service time follows an exponential distribution with mean of 1 minute per help session. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.6. Based on this report how much time do students spend getting help before they can resume work on their computers?
Refer to Exhibit 13.6. Based on this report how much time do students spend getting help before they can resume work on their computers?
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77
Exhibit 13.2
The following questions refer to the information and output below.
A barber shop has one barber who can give 12 haircuts per hour. Customers arrive at a rate of 8 customers per hour. Customer inter-arrival times and service times are exponentially distributed. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.2 The following questions refer to the information and output below. A barber shop has one barber who can give 12 haircuts per hour. Customers arrive at a rate of 8 customers per hour. Customer inter-arrival times and service times are exponentially distributed. The following queuing analysis spreadsheet was developed from this information.   Customers arrive at a store randomly, following a Poisson distribution at an average rate of 90 per hour. How many customers arrive per minute, on average?
Customers arrive at a store randomly, following a Poisson distribution at an average rate of 90 per hour. How many customers arrive per minute, on average?
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Exhibit 13.5
The following questions refer to the information and output below.
A computer printer in a large administrative office has a printer buffer (memory to store printing jobs) capacity of 3 jobs. If the buffer is full when a user wants to print a file the user is told that the job cannot be printed and to try again later. There are so many users in this office that we can assume that there is an infinite calling population. Jobs arrive at the printer at a Poisson rate of 55 jobs per hour and take an average of 1 minute to print. Printing times are exponentially distributed. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.5 The following questions refer to the information and output below. A computer printer in a large administrative office has a printer buffer (memory to store printing jobs) capacity of 3 jobs. If the buffer is full when a user wants to print a file the user is told that the job cannot be printed and to try again later. There are so many users in this office that we can assume that there is an infinite calling population. Jobs arrive at the printer at a Poisson rate of 55 jobs per hour and take an average of 1 minute to print. Printing times are exponentially distributed. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.5. What is the Kendall notation for this system?
Refer to Exhibit 13.5. What is the Kendall notation for this system?
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79
Exhibit 13.4
The following questions refer to the information and output below.
A grocery store can serve an average of 360 customers per hour. The service times are exponentially distributed. The store has 4 checkout lines each of which serves 90 customers per hour. Customers arrive at the store at a Poisson rate of 240 customers per hour. The following queuing analysis spreadsheet was developed from this information. Exhibit 13.4 The following questions refer to the information and output below. A grocery store can serve an average of 360 customers per hour. The service times are exponentially distributed. The store has 4 checkout lines each of which serves 90 customers per hour. Customers arrive at the store at a Poisson rate of 240 customers per hour. The following queuing analysis spreadsheet was developed from this information.   Refer to Exhibit 13.4. Based on this report what is the average number of customers waiting for a checker?
Refer to Exhibit 13.4. Based on this report what is the average number of customers waiting for a checker?
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80
Exhibit 13.3
The following questions refer to the information below.
A company has recorded the following customer inter-arrival times and service times for 10 customers at one of its single teller service lines. Assume the data are exponentially distributed and the 10 data points represent a reasonable sample. Exhibit 13.3 The following questions refer to the information below. A company has recorded the following customer inter-arrival times and service times for 10 customers at one of its single teller service lines. Assume the data are exponentially distributed and the 10 data points represent a reasonable sample.   Refer to Exhibit 13.3. What is the mean service rate per hour?
Refer to Exhibit 13.3. What is the mean service rate per hour?
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