Question 1

The reason for using priorities is to decrease the waiting times for high-priority customers.

Accepted Answer

A) True 
 B)False

Question 2

The standard deviation for the degenerative distribution equals zero.

Accepted Answer

A) True 
 B)False

Question 3

The utilization factor is the ratio of the arrival rate to the service rate.

Accepted Answer

A) True 
 B)False

Question 4

Figure
Refer to the following data for a multiple-server,nonpreemptive priority queueing model:  
-What is the average number of low priority items waiting in line for service?

Accepted Answer

A) 0. 
B) 0.24. 
C) 1.74. 
D) 1.98. 
E) 2.22. 
A) 0. 
B) 0.24. 
C) 1.74. 
D) 1.98. 
E) 2.22.

Question 5

For a system that has a high utilization factor,decreasing the service rate will have only a negligible effect on customer waiting time.

Accepted Answer

A) True 
 B)False

Question 6

Figure
Refer to the following data for a multiple-server,nonpreemptive priority queueing model:  
-What is the average number of high priority items waiting in line for service?

Accepted Answer

A) 0. 
B) 0.24. 
C) 1.74. 
D) 1.98. 
E) 2.22. 
A) 0. 
B) 0.24. 
C) 1.74. 
D) 1.98. 
E) 2.22.

Question 7

Queue discipline refers to the willingness of customers to wait in line for service.

Accepted Answer

A) True 
 B)False

Question 8

Which of these would increase system utilization?

Accepted Answer

A) An increase in the service rate. 
B) An increase in the arrival rate. 
C) An increase in the number of servers. 
D) A decrease in service time. 
E) All of the above. 
A) An increase in the service rate. 
B) An increase in the arrival rate. 
C) An increase in the number of servers. 
D) A decrease in service time. 
E) All of the above.

Question 9

The goal of queuing analysis is to minimize customer waiting lines.

Accepted Answer

A) True 
 B)False

Question 10

What is the system utilization?

Accepted Answer

A) 0.6. 
B) 0.7. 
C) 0.8. 
D) 0.9. 
E) 1. 
A) 0.6. 
B) 0.7. 
C) 0.8. 
D) 0.9. 
E) 1.

Question 11

What is the average number of customers waiting in line?

Accepted Answer

A) 1.633. 
B) 2.333. 
C) 2.5. 
D) 3.966. 
E) 4. 
A) 1.633. 
B) 2.333. 
C) 2.5. 
D) 3.966. 
E) 4.

Question 12

The exponential distribution will always provide a reasonably close approximation of the true service-time distribution.

Accepted Answer

A) True 
 B)False

Question 13

How many minutes does the average customer wait in line?

Accepted Answer

A) 7. 
B) 8. 
C) 9. 
D) 10. 
E) 11. 
A) 7. 
B) 8. 
C) 9. 
D) 10. 
E) 11.

Question 14

The goal of queueing analysis is to minimize:

Accepted Answer

A) the sum of customer waiting costs and service costs. 
B) the sum of customer waiting time and service time. 
C) service costs. 
D) customer waiting time. 
E) None of the above. 
A) the sum of customer waiting costs and service costs. 
B) the sum of customer waiting time and service time. 
C) service costs. 
D) customer waiting time. 
E) None of the above.

Question 15

On average,how much longer in minutes do parties of non-truckers spend in the system,compared to parties of truckers?

Accepted Answer

A) 4. 
B) 7. 
C) 11. 
D) 15. 
E) It is impossible to determine without more information. 
A) 4. 
B) 7. 
C) 11. 
D) 15. 
E) It is impossible to determine without more information.

Question 16

Figure
Refer to the following data for a multiple-server,nonpreemptive priority queueing model:  
-What is the average time in the system (in minutes)for a low priority item?

Accepted Answer

A) 2. 
B) 5. 
C) 24. 
D) 35. 
E) 54. 
A) 2. 
B) 5. 
C) 24. 
D) 35. 
E) 54.

Question 17

Most queueing models assume that the form of the probability distribution of interarrival times is an exponential distribution.

Accepted Answer

A) True 
 B)False

Question 18

All single-server queueing models require the utilization factor to be less than 1.

Accepted Answer

A) True 
 B)False

Question 19

A multiple-server queueing system with an exponential arrival rate and service time has a mean arrival rate of 4 customers per hour and a mean service time of 18 minutes per customer.The minimum number of servers required to keep the utilization factor under 1 is:

Accepted Answer

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

Question 20

Figure
Refer to the following data for a multiple-server,nonpreemptive priority queueing model:  
-What is the approximate average time in minutes that non-truckers wait to be seated?

Accepted Answer

A) 2.7. 
B) 4.5. 
C) 8.4. 
D) 13.6. 
E) 15.8. 
A) 2.7. 
B) 4.5. 
C) 8.4. 
D) 13.6. 
E) 15.8.

Exam 12: Queueing Models

The reason for using priorities is to decrease the waiting times for high-priority customers.

The standard deviation for the degenerative distribution equals zero.

The utilization factor is the ratio of the arrival rate to the service rate.

Figure Refer to the following data for a multiple-server,nonpreemptive priority queueing model: -What is the average number of low priority items waiting in line for service?

For a system that has a high utilization factor,decreasing the service rate will have only a negligible effect on customer waiting time.

Figure Refer to the following data for a multiple-server,nonpreemptive priority queueing model: -What is the average number of high priority items waiting in line for service?

Queue discipline refers to the willingness of customers to wait in line for service.

Which of these would increase system utilization?

The goal of queuing analysis is to minimize customer waiting lines.

What is the system utilization?

What is the average number of customers waiting in line?

The exponential distribution will always provide a reasonably close approximation of the true service-time distribution.

How many minutes does the average customer wait in line?

The goal of queueing analysis is to minimize:

On average,how much longer in minutes do parties of non-truckers spend in the system,compared to parties of truckers?

Figure Refer to the following data for a multiple-server,nonpreemptive priority queueing model: -What is the average time in the system (in minutes)for a low priority item?

Most queueing models assume that the form of the probability distribution of interarrival times is an exponential distribution.

All single-server queueing models require the utilization factor to be less than 1.

A multiple-server queueing system with an exponential arrival rate and service time has a mean arrival rate of 4 customers per hour and a mean service time of 18 minutes per customer.The minimum number of servers required to keep the utilization factor under 1 is:

Figure Refer to the following data for a multiple-server,nonpreemptive priority queueing model: -What is the approximate average time in minutes that non-truckers wait to be seated?

Introduction

Linear Programming: Basic Concepts

Linear Programming: Formulation and Applications

The Art of Modeling With Spreadsheets

What-If Analysis for Linear Programming

Network Optimization Problems

Using Binary Integer Programming to Deal With Yes-Or-No Decisions

Nonlinear Programming

Decision Analysis

Cd Supplement - Decision Analysis

Forecasting

CD Supplement - Additional Queueing Models

Computer Simulation: Basic Concepts

CD Supplement - the Inverse Transformation Method for Generating Random Observations

Computer Simulation With Crystal Ball

CD - Solution Concepts for Linear Programming

CD - Transportation and Assignment Problems

CD - Pertcpm Models for Project Management

CD - Goal Programming

CD - Inventory Management With Known Demand

CD - Inventory Management With Uncertain Demand

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