Question 1

When designing a queueing system with a finite queue,one important decision is how much waiting room to provide.

Accepted Answer

A) True 
 B)False  True

Question 2

Rank the exponential,degenerate,Erlang (k = 2),and Erlang (k = 4)distributions from highest to lowest variability,given the same mean.

Accepted Answer

A) degenerate,Erlang (k = 2),Erlang (k = 4),exponential. 
B) degenerate,Erlang (k = 4),Erlang (k = 2),exponential. 
C) exponential,Erlang (k = 2),Erlang (k = 4),degenerate. 
D) exponential,Erlang (k = 4),Erlang (k = 2),degenerate. 
E) none of the above. 
A) degenerate,Erlang (k = 2),Erlang (k = 4),exponential. 
B) degenerate,Erlang (k = 4),Erlang (k = 2),exponential. 
C) exponential,Erlang (k = 2),Erlang (k = 4),degenerate. 
D) exponential,Erlang (k = 4),Erlang (k = 2),degenerate. 
E) none of the above. C

Question 3

The Erlang distribution with k = 4 has higher variability than the Erlang distribution with k = 2.
Multiple Choice Questions

Accepted Answer

A) True 
 B)False  False

Question 4

Given the same utilization factor,waiting time in the queue will be less for a finite queue than the corresponding value for the M/M/s model.

Accepted Answer

A) True 
 B)False

Question 5

The finite calling population queueing model is appropriate when the potential calling population is relatively small.

Accepted Answer

A) True 
 B)False

Question 6

The utilization factor for the finite queue variation must be less than 1 in order for the system to reach a steady state.

Accepted Answer

A) True 
 B)False

Question 7

The Erlang distribution has less variability than the exponential distribution for the same mean.

Accepted Answer

A) True 
 B)False

Question 8

A basic difference between infinite calling population and finite calling population queueing models is:

Accepted Answer

A) the number of servers. 
B) the average waiting time. 
C) the arrival distribution. 
D) the size of the potential customer base. 
E) the processing rate. 
A) the number of servers. 
B) the average waiting time. 
C) the arrival distribution. 
D) the size of the potential customer base. 
E) the processing rate.

When designing a queueing system with a finite queue,one important decision is how much waiting room to provide.

Rank the exponential,degenerate,Erlang (k = 2),and Erlang (k = 4)distributions from highest to lowest variability,given the same mean.

The Erlang distribution with k = 4 has higher variability than the Erlang distribution with k = 2. Multiple Choice Questions

Given the same utilization factor,waiting time in the queue will be less for a finite queue than the corresponding value for the M/M/s model.

The finite calling population queueing model is appropriate when the potential calling population is relatively small.

The utilization factor for the finite queue variation must be less than 1 in order for the system to reach a steady state.

The Erlang distribution has less variability than the exponential distribution for the same mean.

A basic difference between infinite calling population and finite calling population queueing models is:

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

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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Exam 13: CD Supplement - Additional Queueing Models

When designing a queueing system with a finite queue,one important decision is how much waiting room to provide.

Rank the exponential,degenerate,Erlang (k = 2),and Erlang (k = 4)distributions from highest to lowest variability,given the same mean.

The Erlang distribution with k = 4 has higher variability than the Erlang distribution with k = 2. Multiple Choice Questions

Given the same utilization factor,waiting time in the queue will be less for a finite queue than the corresponding value for the M/M/s model.

The finite calling population queueing model is appropriate when the potential calling population is relatively small.

The utilization factor for the finite queue variation must be less than 1 in order for the system to reach a steady state.

The Erlang distribution has less variability than the exponential distribution for the same mean.

A basic difference between infinite calling population and finite calling population queueing models is:

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

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

Filters