Deck 5: Service Design

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سؤال
The service-process matrix is based on two characteristics: labor intensity and volume.
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سؤال
In general, a service and its delivery system are inseparable.
سؤال
A service package defines the target market and the desired customer experience.
سؤال
The service concept also defines how a service differs from other similar products and how it will compete in the marketplace.
سؤال
It is widely accepted that the effective design and the efficient operation of services are critical to the health of the U.S. economy.
سؤال
In general, services are acts, deeds or performances that provide a customer time, place, form or psychological utility.
سؤال
The tradeoff between the cost of improved service and the cost of making customers wait provides the basis of waiting line analysis.
سؤال
Almost all consumer products consist of some combination of facilitating goods and facilitating services.
سؤال
Service design and improvement techniques cannot be applied to societal problems such as education, healthcare and government services.
سؤال
Waiting lines form because customers arrival times and service times are not always equal.
سؤال
A single waiting line model can be applied to every type of waiting line system.
سؤال
Service processes can be classified by the degree of labor intensity and customization.
سؤال
The number of arrivals per unit time to a service facility is often described by a Poisson distribution.
سؤال
When designing a service, performance specifications are converted into design specifications, and finally, delivery specifications,
سؤال
Waiting lines form only when service operations are understaffed.
سؤال
The service sector accounts for over 80 percent of employment in the United States.
سؤال
The calling population is the source of customers used in waiting line analysis.
سؤال
Service companies are centralized and geographically concentrated.
سؤال
Balking occurs when a customer waiting in a line moves from one line to another because he believes it is moving faster.
سؤال
The negative exponential distribution is the probability distribution most commonly used to describe service times.
سؤال
A dentist office is an example of a

A) service factory.
B) mass service.
C) service shop.
D) professional service.
سؤال
A grocery store is an example of a

A) service factory.
B) mass service.
C) service shop.
D) professional service.
سؤال
A teacher is an example of a

A) service factory.
B) mass service.
C) service shop.
D) professional service.
سؤال
The constant average values of operating characteristics a system attains after a long time is referred to as a steady state.
سؤال
Channels refers to the number of parallel servers in a waiting line system.
سؤال
Which of the following is not a characteristic of a service?

A) Tangible
B) Variable output
C) Difficult to emulate
D) Perishable
سؤال
In a waiting line system, the ___________ reflects the probability that the server is busy and the customer must wait.

A) utilization factor
B) queue discipline
C) average number of customers in the system
D) probability the system is idle
سؤال
As the level of service improves in a waiting line system the cost of service usually increases.
سؤال
Which of the following is not a basic element of a waiting line?

A) arrivals
B) servers
C) cost of waiting
D) waiting line structure
سؤال
Service quality in waiting line systems sometimes depends on the psychology of waiting.
سؤال
Queue discipline specifies the order in which waiting customers are served.
سؤال
The number of parallel servers in waiting line analysis is referred to as the number of phases.
سؤال
In general, as the level of service improves, the cost of service increases.
سؤال
If service times are exponentially distributed then service rates are normally distributed.
سؤال
An airline is an example of a

A) service factory.
B) mass service.
C) service shop.
D) professional service.
سؤال
Which of the following is not a characteristic of a service?

A) Intangible
B) Variable output
C) Difficult to emulate
D) Perishable
سؤال
One of the basic assumptions for the single-server model is that the calling population is finite.
سؤال
If the average service rate is smaller than the average arrival rate an infinitely large waiting line (queue) will form.
سؤال
A waiting line system is said to have a finite calling population if the size of the population of customers from which arrivals originate is known.
سؤال
Waiting line analysis should be applied only to situations with an infinite calling population.
سؤال
Consider an espresso stand with a single barista. Customers arrive at the rate of 20 per hour according to a Poisson distribution. Service times are exponentially distributed with a mean service time of 2 minutes per customer. What is the service rate per hour for the espresso stand?

A) 30 customers
B) 20 customers
C) 15 customers
D) 2 customers
سؤال
Consider an espresso stand with a single barista. Customers arrive at the stand at the rate of 28 per hour according to a Poisson distribution. Service times are exponentially distributed with a service rate of 35 customers per hour. The average number of customers in the system (i.e., waiting and being served) is

A) 4.0
B) 3.8
C) 3.2
D) 2.0
سؤال
A small diner has one employee and a counter with seating for 8 customers. The diner does not package food for takeout. Customers arrive at the diner at the rate of 20 per hour (Poisson distributed). Service times are exponentially distributed and average 24 per hour. Customers that arrive when all seats are taken do not enter the diner. What is the probability that there are no customers in the diner?

A) 0.2067
B) 0.7933
C) 0.8333
D) 0.1667
سؤال
Consider an espresso stand with a single barista. Customers arrive at the stand at the rate of 28 per hour according to a Poisson distribution. Service times are exponentially distributed with a service rate of 35 customers per hour. The probability that there are more than 2 customers in the system is

A) 0.128
B) 0.488
C) 0.512
D) 0.640
سؤال
The number of channels in a queuing process

A) denotes the number of servers in sequence a customer must go through.
B) denotes the size of the calling population.
C) denotes the number of parallel servers for servicing arriving customers.
D) denotes the average queue length.
سؤال
If the average time to serve a customer is 3 minutes, then the service rate, µ, is

A) 3 per hour.
B) 12 per hour.
C) 16 per hour.
D) 20 per hour.
سؤال
Consider an espresso stand with a single barista. Customers arrive at the stand at the rate of 28 per hour according to a Poisson distribution. Service times are exponentially distributed with a service rate of 35 customers per hour. The probability that the server is idle is

A) 0.20
B) 0.60
C) 0.80
D) 1.00
سؤال
Consider an espresso stand with a single barista. Customers arrive at the stand at the rate of 28 per hour according to a Poisson distribution. Service times are exponentially distributed with a service rate of 35 customers per hour. The probability that there are exactly 3 customers in the system is

A) 0.0000
B) 0.1024
C) 0.4096
D) 0.5120
سؤال
A small diner has one employee and a counter with seating for 8 customers. The diner does not package food for take out. Customers arrive at the diner at the rate of 20 per hour (Poisson distributed). Service times are exponentially distributed and average 24 per hour. Customers that arrive when all seats are taken do not enter the diner. What is the probability that the diner is full and an arriving customer does not enter?

A) 0.8333
B) 0.1667
C) 0.2067
D) 0.0481
سؤال
The ______________ refers to the order in which waiting customers are served.

A) calling population
B) queue discipline
C) number of channels
D) service rate
سؤال
Consider an espresso stand with a single barista. Customers arrive at the stand at the rate of 28 per hour according to a Poisson distribution. Service times are exponentially distributed with a service rate of 35 customers per hour. The average time in minutes a customer spends waiting in line for service is

A) 0.114 minute.
B) 0.143 minute.
C) 6.84 minutes.
D) 8.58 minutes.
سؤال
Consider an espresso stand with a single barista. Customers arrive to the stand at the rate of 28 per hour according to a Poisson distribution. Service times are exponentially distributed with a service rate of 35 customers per minute. If the arrival rate remains at 28 customers per hour and the stand's manager wants to have the average time a customer spends in the system (i.e., wait time and service time) to be a maximum of 6 minutes on average, then the service rate must

A) decrease by 2 to 33 customers per hour.
B) decrease by 3 to 32 customers per hour.
C) increase by 3 to 38 customers per hour.
D) increase by 2 to 37 customers per hour.
سؤال
Consider an espresso stand with a single barista. Customers arrive at the stand at the rate of 28 per hour according to a Poisson distribution. Service times are exponentially distributed with a service rate of 35 customers per hour. The average number of customers waiting in line for service is

A) 4.0
B) 3.8
C) 3.5
D) 3.2
سؤال
Consider an espresso stand with a single barista. Customers arrive at the stand at the rate of 28 per hour according to a Poisson distribution. Service times are exponentially distributed with a service rate of 35 customers per hour. The probability that the server is busy is

A) 0.20
B) 0.60
C) 0.80
D) 1.00
سؤال
In general, as the number of servers in a waiting line system increases,

A) service cost increases and waiting cost decreases.
B) service cost decreases and waiting cost increases.
C) both service cost and waiting cost increase.
D) both service cost and waiting cost decrease.
سؤال
If, on average, it takes 90 seconds to serve a customer then the hourly service rate, µ, is

A) 90 per hour.
B) 40 per hour.
C) 30 per hour.
D) 1.5 per hour.
سؤال
The number of arrivals per unit of time at a service facility can frequently be described by a

A) normal distribution.
B) Poisson distribution.
C) binomial distribution.
D) Beta distribution.
سؤال
Consider an espresso stand with a single barista. Customers arrive at the stand at the rate of 28 per hour according to a Poisson distribution. Service times are exponentially distributed with a service rate of 35 customers per hour. The average time in minutes a customer spends in the system (i.e., waiting and being served) is

A) 0.114 minute
B) 0.143 minute
C) 6.84 minutes
D) 8.58 minutes
سؤال
The ________________ is the source of customers for a waiting line system.

A) calling population
B) arrival rate
C) service line channel
D) service line phase
سؤال
A small diner has one employee and a counter with seating for 8 customers. The diner does not package food for takeout. Customers arrive at the diner at the rate of 20 per hour (Poisson distributed). Service times are exponentially distributed and average 24 per hour. Customers that arrive when all seats are taken do not enter the diner. What is the average number of customers in the diner?

A) 2.0432
B) 2.8364
C) 3.7536
D) 5.4837
سؤال
Do waiting lines only form when the service operation is understaffed? Explain?
سؤال
A service counter employs two servers. On average, a server requires 8 minutes to process a customer and service times follow an exponential distribution. Customers arrive at the counter at the rate of 12 per hour according to a Poisson distribution. On average, the total number of customers in the system (i.e., waiting and being served) would be

A) 1.600
B) 2.844
C) 3.200
D) 4.444
سؤال
A small diner has one employee and a counter with seating for 8 customers. The diner does not package food for takeout. Customers arrive at the diner at the rate of 20 per hour (Poisson distributed). Service times are exponentially distributed and average 24 per hour. Customers that arrive when all seats are taken do not enter the diner. What is the average time a customer spends in the diner?

A) 3 minutes
B) 5.975 minutes
C) 6.44 minutes
D) 8.94 minutes
سؤال
A service counter employs two servers. On average, a server requires 8 minutes to process a customer and service times follow an exponential distribution. Customers arrive at the counter at the rate of 12 per hour according to a Poisson distribution. The average amount of time spent by a customer waiting in line is approximately

A) 0.370 minutes
B) 2.844 minutes
C) 14.22 minutes
D) 22.20 minutes
سؤال
What is queue discipline and queue length?
سؤال
How are waiting line costs and service quality related?
سؤال
Briefly describe the traditional cost relationship in waiting line analysis.
سؤال
A service counter employs two servers. On average, a server requires 8 minutes to process a customer and service times follow an exponential distribution. Customers arrive at the counter at the rate of 12 per hour according to a Poisson distribution. The service rate per server for this system is

A) 3.75 customers per hour.
B) 7.5 customers per hour.
C) 8 customers per hour.
D) 16 customers per hour.
سؤال
A service counter employs two servers. On average, a server requires 8 minutes to process a customer and service times follow an exponential distribution. Customers arrive at the counter at the rate of 12 per hour according to a Poisson distribution. The probability that there are no customers in the system is

A) 0.800
B) 0.536
C) 0.369
D) 0.111
سؤال
A service counter employs two servers. On average, a server requires 8 minutes to process a customer and service times follow an exponential distribution. Customers arrive at the counter at the rate of 12 per hour according to a Poisson distribution. The average number of customers waiting to be served would be

A) 4.444
B) 2.844
C) 1.600
D) 0.893
سؤال
A service counter employs two servers. On average a server requires 8 minutes to process a customer and service times follow an exponential distribution. Customers arrive at the counter at the rate of 12 per hour according to a Poisson distribution. The average amount of time, in minutes, spent in the system (i.e., waiting and being served) is approximately

A) 0.237 minutes
B) 14.22 minutes
C) 22.20 minutes
D) 33.30 minutes
سؤال
A small diner has one employee and a counter with seating for 8 customers. The diner does not package food for takeout. Customers arrive at the diner at the rate of 20 per hour (Poisson distributed). Service times are exponentially distributed and average 24 per hour. Customers that arrive when all seats are taken do not enter the diner. What is the average number of customers waiting (average queue length)?

A) 2.0432
B) 2.8364
C) 3.9785
D) 5.9782
سؤال
A service counter employs two servers. On average, a server requires 8 minutes to process a customer and service times follow an exponential distribution. Customers arrive at the counter at the rate of 12 per hour according to a Poisson distribution. The probability that an arriving customer must wait for service is

A) 0.7111
B) 0.8000
C) 0.8576
D) 0.9327
سؤال
What is a calling population in terms of a waiting line system?
سؤال
What are the basic elements of a waiting line? Define each.
سؤال
How can psychology be used to improve waiting lines? Provide an example.
سؤال
A small diner has one employee and a counter with seating for 8 customers. The diner does not package food for takeout. Customers arrive at the diner at the rate of 20 per hour (Poisson distributed). Service times are exponentially distributed and average 24 per hour. Customers that arrive when all seats are taken do not enter the diner. What is the average time a customer spends waiting?

A) 2.5 minutes
B) 3.0 minutes
C) 6.44 minutes
D) 24 minutes
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ملء الشاشة (f)
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Deck 5: Service Design
1
The service-process matrix is based on two characteristics: labor intensity and volume.
False
2
In general, a service and its delivery system are inseparable.
True
3
A service package defines the target market and the desired customer experience.
False
4
The service concept also defines how a service differs from other similar products and how it will compete in the marketplace.
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5
It is widely accepted that the effective design and the efficient operation of services are critical to the health of the U.S. economy.
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6
In general, services are acts, deeds or performances that provide a customer time, place, form or psychological utility.
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7
The tradeoff between the cost of improved service and the cost of making customers wait provides the basis of waiting line analysis.
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8
Almost all consumer products consist of some combination of facilitating goods and facilitating services.
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9
Service design and improvement techniques cannot be applied to societal problems such as education, healthcare and government services.
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10
Waiting lines form because customers arrival times and service times are not always equal.
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11
A single waiting line model can be applied to every type of waiting line system.
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12
Service processes can be classified by the degree of labor intensity and customization.
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13
The number of arrivals per unit time to a service facility is often described by a Poisson distribution.
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14
When designing a service, performance specifications are converted into design specifications, and finally, delivery specifications,
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15
Waiting lines form only when service operations are understaffed.
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16
The service sector accounts for over 80 percent of employment in the United States.
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17
The calling population is the source of customers used in waiting line analysis.
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18
Service companies are centralized and geographically concentrated.
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19
Balking occurs when a customer waiting in a line moves from one line to another because he believes it is moving faster.
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20
The negative exponential distribution is the probability distribution most commonly used to describe service times.
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21
A dentist office is an example of a

A) service factory.
B) mass service.
C) service shop.
D) professional service.
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22
A grocery store is an example of a

A) service factory.
B) mass service.
C) service shop.
D) professional service.
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23
A teacher is an example of a

A) service factory.
B) mass service.
C) service shop.
D) professional service.
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24
The constant average values of operating characteristics a system attains after a long time is referred to as a steady state.
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25
Channels refers to the number of parallel servers in a waiting line system.
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26
Which of the following is not a characteristic of a service?

A) Tangible
B) Variable output
C) Difficult to emulate
D) Perishable
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27
In a waiting line system, the ___________ reflects the probability that the server is busy and the customer must wait.

A) utilization factor
B) queue discipline
C) average number of customers in the system
D) probability the system is idle
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28
As the level of service improves in a waiting line system the cost of service usually increases.
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29
Which of the following is not a basic element of a waiting line?

A) arrivals
B) servers
C) cost of waiting
D) waiting line structure
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30
Service quality in waiting line systems sometimes depends on the psychology of waiting.
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31
Queue discipline specifies the order in which waiting customers are served.
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32
The number of parallel servers in waiting line analysis is referred to as the number of phases.
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33
In general, as the level of service improves, the cost of service increases.
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34
If service times are exponentially distributed then service rates are normally distributed.
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35
An airline is an example of a

A) service factory.
B) mass service.
C) service shop.
D) professional service.
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36
Which of the following is not a characteristic of a service?

A) Intangible
B) Variable output
C) Difficult to emulate
D) Perishable
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37
One of the basic assumptions for the single-server model is that the calling population is finite.
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38
If the average service rate is smaller than the average arrival rate an infinitely large waiting line (queue) will form.
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39
A waiting line system is said to have a finite calling population if the size of the population of customers from which arrivals originate is known.
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40
Waiting line analysis should be applied only to situations with an infinite calling population.
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41
Consider an espresso stand with a single barista. Customers arrive at the rate of 20 per hour according to a Poisson distribution. Service times are exponentially distributed with a mean service time of 2 minutes per customer. What is the service rate per hour for the espresso stand?

A) 30 customers
B) 20 customers
C) 15 customers
D) 2 customers
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42
Consider an espresso stand with a single barista. Customers arrive at the stand at the rate of 28 per hour according to a Poisson distribution. Service times are exponentially distributed with a service rate of 35 customers per hour. The average number of customers in the system (i.e., waiting and being served) is

A) 4.0
B) 3.8
C) 3.2
D) 2.0
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43
A small diner has one employee and a counter with seating for 8 customers. The diner does not package food for takeout. Customers arrive at the diner at the rate of 20 per hour (Poisson distributed). Service times are exponentially distributed and average 24 per hour. Customers that arrive when all seats are taken do not enter the diner. What is the probability that there are no customers in the diner?

A) 0.2067
B) 0.7933
C) 0.8333
D) 0.1667
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44
Consider an espresso stand with a single barista. Customers arrive at the stand at the rate of 28 per hour according to a Poisson distribution. Service times are exponentially distributed with a service rate of 35 customers per hour. The probability that there are more than 2 customers in the system is

A) 0.128
B) 0.488
C) 0.512
D) 0.640
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45
The number of channels in a queuing process

A) denotes the number of servers in sequence a customer must go through.
B) denotes the size of the calling population.
C) denotes the number of parallel servers for servicing arriving customers.
D) denotes the average queue length.
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46
If the average time to serve a customer is 3 minutes, then the service rate, µ, is

A) 3 per hour.
B) 12 per hour.
C) 16 per hour.
D) 20 per hour.
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47
Consider an espresso stand with a single barista. Customers arrive at the stand at the rate of 28 per hour according to a Poisson distribution. Service times are exponentially distributed with a service rate of 35 customers per hour. The probability that the server is idle is

A) 0.20
B) 0.60
C) 0.80
D) 1.00
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48
Consider an espresso stand with a single barista. Customers arrive at the stand at the rate of 28 per hour according to a Poisson distribution. Service times are exponentially distributed with a service rate of 35 customers per hour. The probability that there are exactly 3 customers in the system is

A) 0.0000
B) 0.1024
C) 0.4096
D) 0.5120
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49
A small diner has one employee and a counter with seating for 8 customers. The diner does not package food for take out. Customers arrive at the diner at the rate of 20 per hour (Poisson distributed). Service times are exponentially distributed and average 24 per hour. Customers that arrive when all seats are taken do not enter the diner. What is the probability that the diner is full and an arriving customer does not enter?

A) 0.8333
B) 0.1667
C) 0.2067
D) 0.0481
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50
The ______________ refers to the order in which waiting customers are served.

A) calling population
B) queue discipline
C) number of channels
D) service rate
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51
Consider an espresso stand with a single barista. Customers arrive at the stand at the rate of 28 per hour according to a Poisson distribution. Service times are exponentially distributed with a service rate of 35 customers per hour. The average time in minutes a customer spends waiting in line for service is

A) 0.114 minute.
B) 0.143 minute.
C) 6.84 minutes.
D) 8.58 minutes.
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52
Consider an espresso stand with a single barista. Customers arrive to the stand at the rate of 28 per hour according to a Poisson distribution. Service times are exponentially distributed with a service rate of 35 customers per minute. If the arrival rate remains at 28 customers per hour and the stand's manager wants to have the average time a customer spends in the system (i.e., wait time and service time) to be a maximum of 6 minutes on average, then the service rate must

A) decrease by 2 to 33 customers per hour.
B) decrease by 3 to 32 customers per hour.
C) increase by 3 to 38 customers per hour.
D) increase by 2 to 37 customers per hour.
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53
Consider an espresso stand with a single barista. Customers arrive at the stand at the rate of 28 per hour according to a Poisson distribution. Service times are exponentially distributed with a service rate of 35 customers per hour. The average number of customers waiting in line for service is

A) 4.0
B) 3.8
C) 3.5
D) 3.2
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54
Consider an espresso stand with a single barista. Customers arrive at the stand at the rate of 28 per hour according to a Poisson distribution. Service times are exponentially distributed with a service rate of 35 customers per hour. The probability that the server is busy is

A) 0.20
B) 0.60
C) 0.80
D) 1.00
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55
In general, as the number of servers in a waiting line system increases,

A) service cost increases and waiting cost decreases.
B) service cost decreases and waiting cost increases.
C) both service cost and waiting cost increase.
D) both service cost and waiting cost decrease.
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56
If, on average, it takes 90 seconds to serve a customer then the hourly service rate, µ, is

A) 90 per hour.
B) 40 per hour.
C) 30 per hour.
D) 1.5 per hour.
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57
The number of arrivals per unit of time at a service facility can frequently be described by a

A) normal distribution.
B) Poisson distribution.
C) binomial distribution.
D) Beta distribution.
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58
Consider an espresso stand with a single barista. Customers arrive at the stand at the rate of 28 per hour according to a Poisson distribution. Service times are exponentially distributed with a service rate of 35 customers per hour. The average time in minutes a customer spends in the system (i.e., waiting and being served) is

A) 0.114 minute
B) 0.143 minute
C) 6.84 minutes
D) 8.58 minutes
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59
The ________________ is the source of customers for a waiting line system.

A) calling population
B) arrival rate
C) service line channel
D) service line phase
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60
A small diner has one employee and a counter with seating for 8 customers. The diner does not package food for takeout. Customers arrive at the diner at the rate of 20 per hour (Poisson distributed). Service times are exponentially distributed and average 24 per hour. Customers that arrive when all seats are taken do not enter the diner. What is the average number of customers in the diner?

A) 2.0432
B) 2.8364
C) 3.7536
D) 5.4837
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61
Do waiting lines only form when the service operation is understaffed? Explain?
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62
A service counter employs two servers. On average, a server requires 8 minutes to process a customer and service times follow an exponential distribution. Customers arrive at the counter at the rate of 12 per hour according to a Poisson distribution. On average, the total number of customers in the system (i.e., waiting and being served) would be

A) 1.600
B) 2.844
C) 3.200
D) 4.444
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63
A small diner has one employee and a counter with seating for 8 customers. The diner does not package food for takeout. Customers arrive at the diner at the rate of 20 per hour (Poisson distributed). Service times are exponentially distributed and average 24 per hour. Customers that arrive when all seats are taken do not enter the diner. What is the average time a customer spends in the diner?

A) 3 minutes
B) 5.975 minutes
C) 6.44 minutes
D) 8.94 minutes
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64
A service counter employs two servers. On average, a server requires 8 minutes to process a customer and service times follow an exponential distribution. Customers arrive at the counter at the rate of 12 per hour according to a Poisson distribution. The average amount of time spent by a customer waiting in line is approximately

A) 0.370 minutes
B) 2.844 minutes
C) 14.22 minutes
D) 22.20 minutes
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65
What is queue discipline and queue length?
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66
How are waiting line costs and service quality related?
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67
Briefly describe the traditional cost relationship in waiting line analysis.
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68
A service counter employs two servers. On average, a server requires 8 minutes to process a customer and service times follow an exponential distribution. Customers arrive at the counter at the rate of 12 per hour according to a Poisson distribution. The service rate per server for this system is

A) 3.75 customers per hour.
B) 7.5 customers per hour.
C) 8 customers per hour.
D) 16 customers per hour.
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69
A service counter employs two servers. On average, a server requires 8 minutes to process a customer and service times follow an exponential distribution. Customers arrive at the counter at the rate of 12 per hour according to a Poisson distribution. The probability that there are no customers in the system is

A) 0.800
B) 0.536
C) 0.369
D) 0.111
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70
A service counter employs two servers. On average, a server requires 8 minutes to process a customer and service times follow an exponential distribution. Customers arrive at the counter at the rate of 12 per hour according to a Poisson distribution. The average number of customers waiting to be served would be

A) 4.444
B) 2.844
C) 1.600
D) 0.893
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71
A service counter employs two servers. On average a server requires 8 minutes to process a customer and service times follow an exponential distribution. Customers arrive at the counter at the rate of 12 per hour according to a Poisson distribution. The average amount of time, in minutes, spent in the system (i.e., waiting and being served) is approximately

A) 0.237 minutes
B) 14.22 minutes
C) 22.20 minutes
D) 33.30 minutes
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72
A small diner has one employee and a counter with seating for 8 customers. The diner does not package food for takeout. Customers arrive at the diner at the rate of 20 per hour (Poisson distributed). Service times are exponentially distributed and average 24 per hour. Customers that arrive when all seats are taken do not enter the diner. What is the average number of customers waiting (average queue length)?

A) 2.0432
B) 2.8364
C) 3.9785
D) 5.9782
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73
A service counter employs two servers. On average, a server requires 8 minutes to process a customer and service times follow an exponential distribution. Customers arrive at the counter at the rate of 12 per hour according to a Poisson distribution. The probability that an arriving customer must wait for service is

A) 0.7111
B) 0.8000
C) 0.8576
D) 0.9327
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74
What is a calling population in terms of a waiting line system?
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75
What are the basic elements of a waiting line? Define each.
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76
How can psychology be used to improve waiting lines? Provide an example.
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77
A small diner has one employee and a counter with seating for 8 customers. The diner does not package food for takeout. Customers arrive at the diner at the rate of 20 per hour (Poisson distributed). Service times are exponentially distributed and average 24 per hour. Customers that arrive when all seats are taken do not enter the diner. What is the average time a customer spends waiting?

A) 2.5 minutes
B) 3.0 minutes
C) 6.44 minutes
D) 24 minutes
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