Question 1

The constant average values of operating characteristics that a system attains after a long time is referred to as a steady state.

Accepted Answer

This is the correct definition of a steady state.

Question 2

Balking occurs when a customer waiting in a line moves from one line to another because he believes it is moving faster.

Accepted Answer

False

Question 3

The number of parallel servers in waiting line analysis is referred to as the number of phases.

Accepted Answer

False

Question 4

Service quality in waiting line systems sometimes depends on the psychological of waiting.

Accepted Answer

The psychological of waiting, such as perceived waiting time and perceived fairness, can significantly affect customers' perception of service quality in waiting line systems.

Question 5

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.

Accepted Answer

In a finite calling population, the population of customers from which arrivals originate is known and finite. In contrast, in an infinite calling population, the population size is either unknown or so large that it can be considered infinite.

Question 6

Channels refers to the number of parallel servers in a waiting line system.

Accepted Answer

Channels refer to the number of parallel servers in a waiting line system.

Question 7

The number of arrivals per unit time to a service facility is often described by a Poisson distribution.

Accepted Answer

The Poisson distribution is commonly used to model the number of arrivals per unit time in a variety of contexts, including the arrival of customers to a service facility.

Question 8

The calling [population is the source of customers used in waiting line analysis.

Accepted Answer

The calling population is the source of customers used in waiting line analysis. This refers to the total number of potential customers who could potentially wait in line for a service.

Question 9

Waiting lines form only when service operations are understaffed.

Accepted Answer

Waiting lines can form due to various factors, such as high demand, slow processing times, and limited capacity, besides understaffing.

Question 10

The tradeoff between the cost of improved service and the cost of making customers wait provides the basis of waiting line analysis.

Accepted Answer

Waiting line analysis involves balancing the cost of providing better service with the cost of making customers wait in line. This tradeoff forms the basis of waiting line analysis.

Question 11

Aas the level of service improves in a waiting line system the cost of service usually increases.

Accepted Answer

As the level of service improves, such as providing faster service or more amenities during the wait, the cost of providing that level of service usually increases. This is because it requires more resources, such as additional staff or equipment, to provide a higher level of service.

Question 12

A single waiting line model can be applied to every type of waiting line system.

Accepted Answer

The answer of A single waiting line model can be...

Question 13

In general,as the level of service improves the cost of service increases.

Accepted Answer

As service level increases, more resources and/or higher quality materials may be required, leading to an increase in cost. Additionally, companies may charge higher prices for premium or VIP services.

Question 14

Queue discipline specifies the order in which waiting customers are served.

Accepted Answer

Queue discipline determines the sequence in which customers are served from a waiting line or queue. It can be based on factors such as first-come-first-served, priority, or shortest processing time.

Question 15

If service times are exponentially distributed then service rates are normally distributed.

Accepted Answer

The service rates are determined by the reciprocal of the service times. While the reciprocal of a normally distributed variable can have an approximately normal distribution, it does not imply that the service rates themselves are normally distributed. In fact, service rates are typically not normally distributed and may have a skewed distribution.

Question 16

The negative exponential distribution is the probability distribution s most commonly used to describe service times.

Accepted Answer

The negative exponential distribution is indeed the most commonly used probability distribution to model service times in various industries such as banking, healthcare, and telecommunications. It is often used in queuing theory to predict how long customers will wait in line and how long they will spend being served.

Question 17

Waiting lines form because customers arrival times and service times are not always equal.

Accepted Answer

Waiting lines form because customers may arrive at different times and require differing amounts of service time, leading to variations in the time it takes to complete transactions.

Question 18

One of the basic assumptions for the single server model is that the calling population is finite.

Accepted Answer

The basic assumption for the single server model is that the calling population is infinite, not finite.

Question 19

If the average service rate is smaller than the average arrival rate an infinitely large waiting line queue)will form.

Accepted Answer

If the average service rate is smaller than the average arrival rate, then the number of customers in the system will increase over time and an infinitely large waiting line queue will form. This is known as a "stable queueing" scenario, and is commonly encountered in situations such as traffic congestion or call center overload.

Question 20

Waiting line analysis should be applied only to situations with an infinite calling population.

Accepted Answer

Waiting line analysis can be applied to situations with both finite and infinite calling populations.

Quiz 5: Service Design