Question 1

Numerical values that appear in the mathematical relationships of a model and are considered known and remain constant over all trials of a simulation are

Accepted Answer

A) parameters. 
B) probabilistic input. 
C) controllable input. 
D) events. 
A) parameters. 
B) probabilistic input. 
C) controllable input. 
D) events. A

Question 2

Simulation is a trial-and-error approach to problem solving.

Accepted Answer

A) True 
 B)False  True

Question 3

In comparing different policies using simulation, one should use the same set of random numbers whenever possible.

Accepted Answer

A) True 
 B)False  True

Question 4

Common features of simulations--generating values from probability distributions, maintaining records, recording data and summarizing results--led to the development of

Accepted Answer

A) Excel and Lotus. 
B) BASIC, FORTRAN, PASCAL, and C. 
C) GPSS, SIMSCRIPT, SLAM, and Arena 
D) LINDO and The Management Scientist 
A) Excel and Lotus. 
B) BASIC, FORTRAN, PASCAL, and C. 
C) GPSS, SIMSCRIPT, SLAM, and Arena 
D) LINDO and The Management Scientist

Question 5

Estimates of the financial information for a new product show the following information: $$\begin{array} { c c l l } 
\text { Units Sold } & \text { Probability } & \text { Fixed cost } & \$ 8,000 \
600 & .35 & \text { Variable cost } & \$ 6 / \text { unit } \
800 & .45 & \text { Revenue } & \$ 22 / \text { unit }
\end{array}$$ Use the random numbers .51, .97, .58, .22, and .16 to simulate five trials. What is the net profit for each trial?

Accepted Answer

The answer of Estimates of the financial information for a...

Question 6

A table of uniformly distributed random numbers should be read

Accepted Answer

A) from left to right. 
B) from top to bottom. 
C) diagonally, starting from the top left corner and moving to the bottom right. 
D) in any consistent sequence. 
A) from left to right. 
B) from top to bottom. 
C) diagonally, starting from the top left corner and moving to the bottom right. 
D) in any consistent sequence.

Question 7

Trials of a simulation show what would happen when values of the probabilistic input change.

Accepted Answer

A) True 
 B)False

Question 8

The process of determining that the computer procedure that performs the simulation calculations is logically correct is called

Accepted Answer

A) implementation. 
B) validation. 
C) verification. 
D) repetition. 
A) implementation. 
B) validation. 
C) verification. 
D) repetition.

Question 9

How are both analysts and managers involved in the validation process?

Accepted Answer

Analysts and managers play distinct but

Question 10

A simulation model used in situations where the state of the system at one point in time does not affect the state of the system at future points in time is called a

Accepted Answer

A) dynamic simulation model. 
B) static simulation model. 
C) steady-state simulation model. 
D) discrete-event simulation model. 
A) dynamic simulation model. 
B) static simulation model. 
C) steady-state simulation model. 
D) discrete-event simulation model.

Question 11

The time required to set up lighting for a portrait studio is uniformly distributed between 12 and 20 minutes. Use the following random numbers to generate the setup time for 10 customers.
.27
.53
.06
.92
.16
.74
.06
.29
.82
.23

Accepted Answer

The answer of The time required to set up lighting...

Question 12

In order to verify a simulation model

Accepted Answer

A) compare results from several simulation languages. 
B) be sure that the procedures for calculations are logically correct. 
C) confirm that the model accurately represents the real system. 
D) run the model long enough to overcome initial start-up results. 
A) compare results from several simulation languages. 
B) be sure that the procedures for calculations are logically correct. 
C) confirm that the model accurately represents the real system. 
D) run the model long enough to overcome initial start-up results.

Question 13

Validation determines that the computer procedure is operating as it is intended to operate.

Accepted Answer

A) True 
 B)False

Question 14

As the owner of a rent-a-car agency you have determined the following statistics: $$\begin{array} { c c c c } 
\begin{array} { c } 
\text { Potential } \
\text { Rentals Daily }
\end{array} & \text { Probability } & \begin{array} { c } 
\text { Rental } \
\text { Duration }
\end{array} & \text { Probability } \
\hline 1 & 10 & 1 \text { day } & .50 \
2 & .15 & 2 \text { day } & .30 \
3 & .20 & 3 \text { days } & .15 \
4 & .30 & 4 \text { days } & .05
\end{array}$$ The gross profit is $40 per car per day rented. When there is demand for a car when none is available there is a goodwill loss of $80 and the rental is lost. Each day a car is unused costs you $5 per car. Your firm initially has 4 cars. 
a.Conduct a 10-day simulation of this business using Row #1 below for demand and Row #2 below for rental length. $$\begin{array} { l l l l l l l l l l l } 
\text { Row \#1: } & 63 & 88 & 55 & 46 & 55 & 69 & 13 & 17 & 36 & 81 \
\hline \text { Row \#2: } & 59 & 09 & 57 & 87 & 07 & 92 & 29 & 28 & 64 & 36
\end{array}$$ 
b.If your firm can obtain another car for $200 for 10 days, should you take the extra car?

Accepted Answer

a.10-day profit is $

Question 15

The drying rate in an industrial process is dependent on many factors and varies according to the following distribution. $$\begin{array} { c c } 
\text { Minutes } & \text { Relative Frequency } \
\hline 3 & .14 \
4 & .30 \
5 & .27 \
6 & .18 \
7 & .11
\end{array}$$ 
a.Compute the mean drying time.
b.Using these random numbers, simulate the drying time for 12 processes..33
.09
.19
.81
.12
.88
.53
.95
.77
.61
.91
.47
c.What is the average drying time for the 10 processes you simulated?

Accepted Answer

a.4.82
b.

Question 16

The number of units expected to be sold is uniformly distributed between 300 and 500. If r is a random number between 0 and 1, then the proper expression for sales is

Accepted Answer

A) 200(r) 
B) r + 300 
C) 300 + 500(r) 
D) 300 + r(200) 
A) 200(r) 
B) r + 300 
C) 300 + 500(r) 
D) 300 + r(200)

Question 17

A value for probabilistic input from a discrete probability distribution

Accepted Answer

A) is the value given by the RAND() function. 
B) is given by matching the probabilistic input with an interval of random numbers. 
C) is between 0 and 1. 
D) must be non-negative. 
A) is the value given by the RAND() function. 
B) is given by matching the probabilistic input with an interval of random numbers. 
C) is between 0 and 1. 
D) must be non-negative.

Question 18

Using the spreadsheet below, give the cell address which would have the formula shown. $\begin{array}{|l|l|}
\hline{\text { Cell Formula }} & \text { Belongs in Cell } \
\hline=\mathrm{VLOOKUP}(\mathrm{B} 18, \$ \mathrm{~B} \$ 10: \$ \mathrm{C} \$ 12,2) & \
\hline=\mathrm{VLOOKUP}(\mathrm{D} 23, \$ \mathrm{~F} \$ 11: \$ \mathrm{G} \$ 14,2) & \
\hline=\mathrm{K} 19^{*}(\$ \mathrm{I} \$ 16-\mathrm{I} 19) & \
\hline=\mathrm{VLOOKUP}(\mathrm{H} 27, \$ \mathrm{~B} \$ 10: \$ \mathrm{C} \$ 12,2) & \
\hline=\mathrm{AVERAGE}(\mathrm{L} 18: \mathrm{L} 27) & \
\hline
\end{array}$

Accepted Answer

The answer of Using the spreadsheet below, give the cell...

Question 19

How can historical information be used to create discrete probability distributions?

Accepted Answer

Historical information can be used to cr

Question 20

Verification is the process of ensuring that the simulation model provides an accurate representation of the real system.

Accepted Answer

A) True 
 B)False

Numerical values that appear in the mathematical relationships of a model and are considered known and remain constant over all trials of a simulation are

Simulation is a trial-and-error approach to problem solving.

In comparing different policies using simulation, one should use the same set of random numbers whenever possible.

Common features of simulations--generating values from probability distributions, maintaining records, recording data and summarizing results--led to the development of

A table of uniformly distributed random numbers should be read

Trials of a simulation show what would happen when values of the probabilistic input change.

The process of determining that the computer procedure that performs the simulation calculations is logically correct is called

How are both analysts and managers involved in the validation process?

A simulation model used in situations where the state of the system at one point in time does not affect the state of the system at future points in time is called a

The time required to set up lighting for a portrait studio is uniformly distributed between 12 and 20 minutes. Use the following random numbers to generate the setup time for 10 customers. .27 .53 .06 .92 .16 .74 .06 .29 .82 .23

In order to verify a simulation model

Validation determines that the computer procedure is operating as it is intended to operate.

The number of units expected to be sold is uniformly distributed between 300 and 500. If r is a random number between 0 and 1, then the proper expression for sales is

A value for probabilistic input from a discrete probability distribution

How can historical information be used to create discrete probability distributions?

Verification is the process of ensuring that the simulation model provides an accurate representation of the real system.

Introduction

An Introduction to Linear Programming

Linear Programming: Sensitivity Analysis and Interpretation of Solution

Linear Programming Applications in Marketing, Finance and Operations Management

Advanced Linear Programming Applications

Distribution and Network Problems

Integer Linear Programming

Nonlinear Optimization Models

Project Scheduling: Pertcpm

Inventory Models

Waiting Line Models

Decision Analysis

Multicriteria Decisions

Forecasting

Markov Processes

Linear Programming: Simplex Method

Simplex-Based Sensitivity Analysis and Duality

Solution Procedures for Transportation and Assignment Problems

Minimal Spanning Tree

Dynamic Programming

Filters

Exam 12: Simulation

Numerical values that appear in the mathematical relationships of a model and are considered known and remain constant over all trials of a simulation are

Simulation is a trial-and-error approach to problem solving.

In comparing different policies using simulation, one should use the same set of random numbers whenever possible.

Common features of simulations--generating values from probability distributions, maintaining records, recording data and summarizing results--led to the development of

A table of uniformly distributed random numbers should be read

Trials of a simulation show what would happen when values of the probabilistic input change.

The process of determining that the computer procedure that performs the simulation calculations is logically correct is called

How are both analysts and managers involved in the validation process?

A simulation model used in situations where the state of the system at one point in time does not affect the state of the system at future points in time is called a

The time required to set up lighting for a portrait studio is uniformly distributed between 12 and 20 minutes. Use the following random numbers to generate the setup time for 10 customers. .27 .53 .06 .92 .16 .74 .06 .29 .82 .23

In order to verify a simulation model

Validation determines that the computer procedure is operating as it is intended to operate.

The number of units expected to be sold is uniformly distributed between 300 and 500. If r is a random number between 0 and 1, then the proper expression for sales is

A value for probabilistic input from a discrete probability distribution

Using the spreadsheet below, give the cell address which would have the formula shown. Cell Formula Belongs in Cell =(18,\ \ 10:\ \ 12,2) =(23,\ \ 11:\ \ 14,2) =1(\ \ 16-19) =(27,\ \ 10:\ \ 12,2) =(18:27)

How can historical information be used to create discrete probability distributions?

Verification is the process of ensuring that the simulation model provides an accurate representation of the real system.

Introduction

An Introduction to Linear Programming

Linear Programming: Sensitivity Analysis and Interpretation of Solution

Linear Programming Applications in Marketing, Finance and Operations Management

Advanced Linear Programming Applications

Distribution and Network Problems

Integer Linear Programming

Nonlinear Optimization Models

Project Scheduling: Pertcpm

Inventory Models

Waiting Line Models

Decision Analysis

Multicriteria Decisions

Forecasting

Markov Processes

Linear Programming: Simplex Method

Simplex-Based Sensitivity Analysis and Duality

Solution Procedures for Transportation and Assignment Problems

Minimal Spanning Tree

Dynamic Programming

Filters