Question 1

The finite-source queuing model is appropriate when the potential calling population is relatively small.

Accepted Answer

A) True 
 B)False

Question 2

A basic difference between infinite source and finite source queuing models is:

Accepted Answer

A)  the number of servers. 
B)  the average waiting time. 
C)  the average arrival rate. 
D)  the potential number of customers. 
E)  the processing rate. 
A)  the number of servers. 
B)  the average waiting time. 
C)  the average arrival rate. 
D)  the potential number of customers. 
E)  the processing rate.

Question 3

What is the average number of machines down with one operator?

Accepted Answer

A)  1.49 
B)  3.35 
C)  4.40 
D)  6.65 
E)  8.51 
A)  1.49 
B)  3.35 
C)  4.40 
D)  6.65 
E)  8.51

Question 4

A major difference between the finite and infinite source queuing models is that the customer arrival rate in a finite situation is dependent on the length of the waiting line.

Accepted Answer

A) True 
 B)False

Question 5

Queuing models discussed in the text pertain only to stable conditions.Stable conditions exist only when customers arrive at a constant rate; that is,without any variability.

Accepted Answer

A) True 
 B)False

Question 6

A multiple server system assumes that each server will have its own waiting line.

Accepted Answer

A) True 
 B)False

Question 7

The following questions refer to this data for a multiple server, priority service queuing model:
  
-What is average time in line for a low priority item?

Accepted Answer

The answer of The following questions refer to this data...

Question 8

Having separate lines for customers that are heterogeneous (different needs)can reduce the variability of service times.

Accepted Answer

A) True 
 B)False

Question 9

A manager assembled the following information about an infinite source waiting line system:
 5 servers,an arrival rate of 6 per hour,and a service time of 20 minutes.The manager has determined that the average number of customers waiting for service is .04.Determine each of the following:
(i)the server utilization
(ii)the average waiting time in line in minutes
(iii)the average time in the system
(iv)the average number in the system

Accepted Answer

l = 6/hr. μ = 3/hr. M = 5 L_q= .

Question 10

Typically customers will perceive waiting times to be less if the line continues to move.

Accepted Answer

A) True 
 B)False

Question 11

A department has 5 semiautomatic pieces of equipment which operate for an average of 79 minutes before they must be reloaded.The reloading operation takes an average of 21 minutes per machine.Assume exponential distributions.
(i)What is the minimum number of servers needed to keep the average downtime per cycle to less than 25 minutes?
(ii)If 1 server is used,what percentage of time will the machine be down?

Accepted Answer

@#IMG-DLM& (ii)B)J =

Question 12

Waiting lines occur even in underloaded systems because of variability in service rates and/or arrival rates.

Accepted Answer

A) True 
 B)False

Question 13

A single server queuing system has an average service time of eight minutes and an average time between arrivals of 10 minutes.The average arrival rate is:

Accepted Answer

A)  6 per hour. 
B)  7.5 per hour. 
C)  8 per hour. 
D)  10 per hour. 
E)  12.5 per hour. 
A)  6 per hour. 
B)  7.5 per hour. 
C)  8 per hour. 
D)  10 per hour. 
E)  12.5 per hour.

Question 14

A multiple server queuing system with a Poisson arrival rate and exponential service time has an average arrival rate of 4 customers per hour and an average service time of 18 minutes per customer.The minimum number of servers required to avoid an overloaded system is:

Accepted Answer

A)  1 
B)  2 
C)  3 
D)  4 
E)  5 
A)  1 
B)  2 
C)  3 
D)  4 
E)  5

Question 15

A single server queuing system has an average service time of 16 minutes per customer,which is exponentially distributed.The manager is thinking of converting to a system with a constant service time of 16 minutes.The average arrival rate will remain the same.The effect will be to:

Accepted Answer

A)  increase utilization. 
B)  decrease utilization. 
C)  increase the average waiting time. 
D)  decrease the average waiting time. 
E)  not have any effect since the service time is unchanged. 
A)  increase utilization. 
B)  decrease utilization. 
C)  increase the average waiting time. 
D)  decrease the average waiting time. 
E)  not have any effect since the service time is unchanged.

Question 16

The term "queue discipline" refers to:

Accepted Answer

A)  the willingness of customers to wait in line for service. 
B)  having multiple waiting lines without customers switching from line to line. 
C)  the order in which customers are served. 
D)  the reason waiting occurs in underutilized systems. 
E)  none of these. 
A)  the willingness of customers to wait in line for service. 
B)  having multiple waiting lines without customers switching from line to line. 
C)  the order in which customers are served. 
D)  the reason waiting occurs in underutilized systems. 
E)  none of these.

Question 17

In an infinite source model,the average time in line is equal to the average number of customers in line divided by the average arrival rate.

Accepted Answer

A) True 
 B)False

Question 18

The most commonly used queuing models assume an arrival rate can be described by a Poisson distribution.

Accepted Answer

A) True 
 B)False

Question 19

Compared to a single server system with exponential service time,the same system with a constant service time will have an average of one-half the number of customers waiting in the system.

Accepted Answer

A) True 
 B)False

Question 20

Which of the following is not generally considered as a measure of system performance in queuing analysis?

Accepted Answer

A)  The average number waiting in line 
B)  The average number in the system 
C)  Server utilization 
D)  The probability that an arriving customer will have to wait for service 
E)  The average service time 
A)  The average number waiting in line 
B)  The average number in the system 
C)  Server utilization 
D)  The probability that an arriving customer will have to wait for service 
E)  The average service time

Exam 18: A: Waiting-Line Analysis

The finite-source queuing model is appropriate when the potential calling population is relatively small.

A basic difference between infinite source and finite source queuing models is:

What is the average number of machines down with one operator?

A major difference between the finite and infinite source queuing models is that the customer arrival rate in a finite situation is dependent on the length of the waiting line.

Queuing models discussed in the text pertain only to stable conditions.Stable conditions exist only when customers arrive at a constant rate; that is,without any variability.

A multiple server system assumes that each server will have its own waiting line.

The following questions refer to this data for a multiple server, priority service queuing model: -What is average time in line for a low priority item?

Having separate lines for customers that are heterogeneous (different needs)can reduce the variability of service times.

Typically customers will perceive waiting times to be less if the line continues to move.

Waiting lines occur even in underloaded systems because of variability in service rates and/or arrival rates.

A single server queuing system has an average service time of eight minutes and an average time between arrivals of 10 minutes.The average arrival rate is:

A multiple server queuing system with a Poisson arrival rate and exponential service time has an average arrival rate of 4 customers per hour and an average service time of 18 minutes per customer.The minimum number of servers required to avoid an overloaded system is:

A single server queuing system has an average service time of 16 minutes per customer,which is exponentially distributed.The manager is thinking of converting to a system with a constant service time of 16 minutes.The average arrival rate will remain the same.The effect will be to:

The term "queue discipline" refers to:

In an infinite source model,the average time in line is equal to the average number of customers in line divided by the average arrival rate.

The most commonly used queuing models assume an arrival rate can be described by a Poisson distribution.

Compared to a single server system with exponential service time,the same system with a constant service time will have an average of one-half the number of customers waiting in the system.

Which of the following is not generally considered as a measure of system performance in queuing analysis?

Introduction to Operations Management

Competitiveness, Strategic Planning, and Productivity

Demand Forecasting

A: Product Design

B: Product Design

A: Strategic Capacity Planning

B: Strategic Capacity Planning

A: Process Design and Facility Layout

B: Process Design and Facility Layout

A: Design of Work Systems

B: Design of Work Systems

A: Location Planning and Analysis

B: Location Planning and Analysis

Management of Quality

A: Statistical Quality Control

B: Statistical Quality Control

Supply Chain Management

Inventory Management

Aggregate Operations Planning

Material Requirements Planning and Enterprise Resource Planning

A: Just-In-Time and Lean Production

B: Just-In-Time and Lean Production

Job and Staff Scheduling

Project Management

B: Waiting-Line Analysis

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