Question 1

Why is simulation considered the method of last resort?

Accepted Answer

Optimizing models would be preferred because they find the best solution when they can be applied.Simulation models use a trial-and-error approach to problem solving where the analyst must prescribe the alternatives to evaluate.In addition,simulation models are expensive to build.

Question 2

The manager of a branch bank wants to build a simulation model of the lobby operation to reduce the waiting time of her customers.The number of customers arriving at any point of time is an example of

Accepted Answer

A)  a decision variable. 
B)  an uncontrollable variable. 
C)  a time-compressed variable. 
D)  a dependent variable. 
A)  a decision variable. 
B)  an uncontrollable variable. 
C)  a time-compressed variable. 
D)  a dependent variable. B

Question 3

________ uses random numbers to generate simulation events.

Accepted Answer

Monte Carlo

Question 4

Excel can be used to perform

Accepted Answer

A)  discrete, next-event simulation. 
B)  continuous simulation. 
C)  analog simulation. 
D)  Monte Carlo simulation. 
A)  discrete, next-event simulation. 
B)  continuous simulation. 
C)  analog simulation. 
D)  Monte Carlo simulation.

Question 5

The two approaches to data collection for simulation are ________ and ________.

Accepted Answer

statistica

Question 6

A variable that is controlled by the decision-maker and will change from one run to the next as different events are simulated is a(n)________..

Accepted Answer

The answer of A variable that is controlled by the...

Question 7

What are the differences between decision variables and uncontrolled variables? Describe the differences and provide an example from a simulation model.

Accepted Answer

A decision variable is one that is under

Question 8

A simulation model is used to test the impact of the number of sample customers at a supermarket.As the model is run,the decision maker watches the average number of customers in the store rapidly increase from zero until it levels off and holds a constant value.The simulation model is

Accepted Answer

A)  not valid due to the lack of change. 
B)  in steady state. 
C)  not valid due to the fluctuation in the statistics. 
D)  a random variable. 
A)  not valid due to the lack of change. 
B)  in steady state. 
C)  not valid due to the fluctuation in the statistics. 
D)  a random variable.

Question 9

Which of these is a special simulation language?

Accepted Answer

A)  C++ 
B)  FORTRAN 
C)  SLAM 
D)  VISUAL BASIC 
A)  C++ 
B)  FORTRAN 
C)  SLAM 
D)  VISUAL BASIC

Question 10

As the operations manager of the bookstore on your college campus,you are keenly aware of the seasonality of demand for your wares.At the start of each semester you puzzle over the number of checkout clerks to schedule and finally decide to model your predicament using Monte Carlo simulation.Describe the simulation process and indicate what assumptions you must make at each step.

Accepted Answer

The simulation process consists of data

Question 11

Decision variables are random events that the decision maker cannot control.

Accepted Answer

A) True 
 B)False

Question 12

What is the difference between a waiting-line model as described in Supplement C and a simulation model of a waiting-line problem?

Accepted Answer

The waiting-line model describes the ope

Question 13

A statistically significant difference in simulation results,when acted upon by the operations manager,will result in significant process improvements in the eyes of the customer or company or both.

Accepted Answer

A) True 
 B)False

Question 14

What are the motivations for using simulation for analyzing processes?

Accepted Answer

Simulation models are useful when waitin

Question 15

What is meant by time compression in a simulation model?

Accepted Answer

Simulation models gather data

Question 16

Simulation can be used to sharpen managerial decision making.

Accepted Answer

A) True 
 B)False

Question 17

A manager has been given the table shown below and is asked to generate random numbers.Which of the following statements is TRUE?
$\begin{array}{|c|c|}
\hline\text { Range } & \text { \# Customers } \
\hline 00-49 & 0 \
\hline 50-79 & 1 \
\hline 80-99 & 2 \
\hline
\end{array}$

Accepted Answer

A)  There are no customers in the store 49 percent of the time. 
B)  The probability of having one customer in the store is 0.30. 
C)  The relative frequency of having two customers in the store is 0.80. 
D)  If we randomly choose the numbers 0 through 99 enough times, about 99 percent of the time we will have two customers in the store. 
A)  There are no customers in the store 49 percent of the time. 
B)  The probability of having one customer in the store is 0.30. 
C)  The relative frequency of having two customers in the store is 0.80. 
D)  If we randomly choose the numbers 0 through 99 enough times, about 99 percent of the time we will have two customers in the store.

Question 18

Which one of the following relationships is correct?

Accepted Answer

A)  Decision variables reflect the value of uncontrollable variables. 
B)  Dependent variables reflect the value of decision and uncontrollable variables. 
C)  Uncontrollable variables reflect the value of decision variables. 
D)  Uncontrollable variables reflect the values of dependent variables. 
A)  Decision variables reflect the value of uncontrollable variables. 
B)  Dependent variables reflect the value of decision and uncontrollable variables. 
C)  Uncontrollable variables reflect the value of decision variables. 
D)  Uncontrollable variables reflect the values of dependent variables.

Question 19

The arrival of customers at a lemonade stand is modeled in SimQuick using a(n)

Accepted Answer

A)  entrance block. 
B)  buffer block. 
C)  workstation block. 
D)  decision point. 
A)  entrance block. 
B)  buffer block. 
C)  workstation block. 
D)  decision point.

Question 20

Which one of the following statements regarding simulation analysis is FALSE?

Accepted Answer

A)  Simulation analysis is a form of hypothesis testing. 
B)  Analysis of variance is a commonly used statistical method for simulation analysis. 
C)  Statistical methods require the replication of simulation runs. 
D)  Each time a simulation model is run for a given set of decision variables, the same random numbers must be used. 
A)  Simulation analysis is a form of hypothesis testing. 
B)  Analysis of variance is a commonly used statistical method for simulation analysis. 
C)  Statistical methods require the replication of simulation runs. 
D)  Each time a simulation model is run for a given set of decision variables, the same random numbers must be used.

Exam 19: Simulation

Why is simulation considered the method of last resort?

The manager of a branch bank wants to build a simulation model of the lobby operation to reduce the waiting time of her customers.The number of customers arriving at any point of time is an example of

________ uses random numbers to generate simulation events.

Excel can be used to perform

The two approaches to data collection for simulation are ________ and ________.

A variable that is controlled by the decision-maker and will change from one run to the next as different events are simulated is a(n)________..

What are the differences between decision variables and uncontrolled variables? Describe the differences and provide an example from a simulation model.

A simulation model is used to test the impact of the number of sample customers at a supermarket.As the model is run,the decision maker watches the average number of customers in the store rapidly increase from zero until it levels off and holds a constant value.The simulation model is

Which of these is a special simulation language?

Decision variables are random events that the decision maker cannot control.

What is the difference between a waiting-line model as described in Supplement C and a simulation model of a waiting-line problem?

A statistically significant difference in simulation results,when acted upon by the operations manager,will result in significant process improvements in the eyes of the customer or company or both.

What are the motivations for using simulation for analyzing processes?

What is meant by time compression in a simulation model?

Simulation can be used to sharpen managerial decision making.

A manager has been given the table shown below and is asked to generate random numbers.Which of the following statements is TRUE? Range \# Customers 00-49 0 50-79 1 80-99 2

Which one of the following relationships is correct?

The arrival of customers at a lemonade stand is modeled in SimQuick using a(n)

Which one of the following statements regarding simulation analysis is FALSE?

Creating Customer Value through Operations

Supply Chain Management

Process Configuration

Capacity

Inventory Management

Quality and Process Improvement

Lean Systems

Managing Projects

Location and Layout

Managing Demand and Forecasting

Operations Planning and Scheduling

Resource Planning

Decision Making

Financial Analysis

Work Measurement

Learning Curve Analysis

Computer-Integrated Manufacturing

Acceptance Sampling Plans

Special Inventory Models

Linear Programming

Waiting Lines

Filters

The two approaches to data collection for simulation are and .