Deck 12: Simulation

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Question
Simulation

A)does not guarantee optimality.
B)is flexible and does not require the assumptions of theoretical models.
C)allows testing of the system without affecting the real system.
D)All of the alternatives are correct.
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Question
The degree of risk is associated with the probability or magnitude of loss.
Question
A simulation model uses the mathematical expressions and logical relationships of the

A)real system.
B)computer model.
C)performance measures.
D)estimated inferences.
Question
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)200(r)
B)r + 300
C)300 + 500(r)
D)300 + r(200)
Question
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

A)dynamic simulation model.
B)static simulation model.
C)steady-state simulation model.
D)discrete-event simulation model.
Question
Simulation is an excellent technique to use when a situation is too complicated to use standard analytical procedures.
Question
Which of the following statements is INCORRECT regarding the advantages of simulation?

A)Simulation is relatively easy to explain and understand.
B)Simulation guarantees an optimal solution.
C)Simulation models are flexible.
D)A simulation model provides a convenient experimental laboratory for the real system.
Question
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

A)parameters.
B)probabilistic input.
C)controllable input.
D)events.
Question
Values for the probabilistic inputs to a simulation

A)are selected by the decision maker.
B)are controlled by the decision maker.
C)are randomly generated based on historical information.
D)are calculated by fixed mathematical formulas.
Question
A quantity that is difficult to measure with certainty is called a

A)risk analysis.
B)project determinant.
C)probabilistic input.
D)profit/loss process.
Question
A value for probabilistic input from a discrete probability distribution

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
Which of the following statements is INCORRECT regarding the disadvantages of simulation?

A)Each simulation run only provides a sample of how the real system will operate.
B)The summary of the simulation data only provides estimates about the real system.
C)The process of developing a simulation model of a complex system can be time-consuming.
D)The larger the number of probabilistic inputs a system has, the less likely a simulation will provide the best approach for studying the system.
Question
When events occur at discrete points in time

A)a simulation clock is required.
B)the simulation advances to the next event.
C)the model is a discrete-event simulation.
D)All of the alternatives are correct.
Question
Common features of simulations--generating values from probability distributions, maintaining records, recording data and summarizing results--led to the development of

A)Excel and Lotus.
B)BASIC, FORTRAN, PASCAL, and C.
C)GPSS, SIMSCRIPT, SLAM, and Arena
D)LINDO and The Management Scientist
Question
In order to verify a simulation model

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

A)implementation.
B)validation.
C)verification.
D)repetition.
Question
If customer 2 has a service time of 1.6, and if customer 3 has an interarrival time of 1.1 and a service time of 2.3, when will customer 3's service be completed?

A)5.0
B)3.9
C)3.4
D)There is not enough information to answer.
Question
The word "uniform" in the term "uniform random numbers" means

A)all the numbers have the same number of digits.
B)if one number is, say, 10 units above the mean, the next number will be 10 units below the mean.
C)all the numbers are odd or all are even.
D)each number has an equal probability of being drawn.
Question
A table of uniformly distributed random numbers should be read

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
Simulation is a trial-and-error approach to problem solving.
Question
Validation determines that the computer procedure is operating as it is intended to operate.
Question
The parameters of a simulation model are the controllable inputs.
Question
Computer-generated random numbers are normally distributed over the interval from 0 to 1.
Question
Using simulation to perform risk analysis is like playing out many what-if scenarios by randomly generating values for the probabilistic inputs.
Question
A static simulation model is used in situations where the state of the system affects how the system changes or evolves over time.
Question
Verification is the process of ensuring that the simulation model provides an accurate representation of the real system.
Question
Computer-generated random numbers are not technically random.
Question
For any waiting line system, (Average number of units in waiting line) = (Total waiting time) divided by (Total time of simulation).
Question
In comparing different policies using simulation, one should use the same set of random numbers whenever possible.
Question
Trials of a simulation show what would happen when values of the probabilistic input change.
Question
In a Monte Carlo simulation, each simulation trial is dependent upon the result of a previous trial.
Question
A discrete-event simulation reviews the status of the system periodically, whether or not an event occurs.
Question
To use Excel to generate a normally distributed random variable, you must know the mean and standard deviation of the distribution and have a random number between 0 and 1.
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Deck 12: Simulation
1
Simulation

A)does not guarantee optimality.
B)is flexible and does not require the assumptions of theoretical models.
C)allows testing of the system without affecting the real system.
D)All of the alternatives are correct.
D
2
The degree of risk is associated with the probability or magnitude of loss.
True
3
A simulation model uses the mathematical expressions and logical relationships of the

A)real system.
B)computer model.
C)performance measures.
D)estimated inferences.
A
4
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)200(r)
B)r + 300
C)300 + 500(r)
D)300 + r(200)
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k this deck
5
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

A)dynamic simulation model.
B)static simulation model.
C)steady-state simulation model.
D)discrete-event simulation model.
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Unlock for access to all 33 flashcards in this deck.
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k this deck
6
Simulation is an excellent technique to use when a situation is too complicated to use standard analytical procedures.
Unlock Deck
Unlock for access to all 33 flashcards in this deck.
Unlock Deck
k this deck
7
Which of the following statements is INCORRECT regarding the advantages of simulation?

A)Simulation is relatively easy to explain and understand.
B)Simulation guarantees an optimal solution.
C)Simulation models are flexible.
D)A simulation model provides a convenient experimental laboratory for the real system.
Unlock Deck
Unlock for access to all 33 flashcards in this deck.
Unlock Deck
k this deck
8
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

A)parameters.
B)probabilistic input.
C)controllable input.
D)events.
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Unlock for access to all 33 flashcards in this deck.
Unlock Deck
k this deck
9
Values for the probabilistic inputs to a simulation

A)are selected by the decision maker.
B)are controlled by the decision maker.
C)are randomly generated based on historical information.
D)are calculated by fixed mathematical formulas.
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Unlock for access to all 33 flashcards in this deck.
Unlock Deck
k this deck
10
A quantity that is difficult to measure with certainty is called a

A)risk analysis.
B)project determinant.
C)probabilistic input.
D)profit/loss process.
Unlock Deck
Unlock for access to all 33 flashcards in this deck.
Unlock Deck
k this deck
11
A value for probabilistic input from a discrete probability distribution

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.
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Unlock for access to all 33 flashcards in this deck.
Unlock Deck
k this deck
12
Which of the following statements is INCORRECT regarding the disadvantages of simulation?

A)Each simulation run only provides a sample of how the real system will operate.
B)The summary of the simulation data only provides estimates about the real system.
C)The process of developing a simulation model of a complex system can be time-consuming.
D)The larger the number of probabilistic inputs a system has, the less likely a simulation will provide the best approach for studying the system.
Unlock Deck
Unlock for access to all 33 flashcards in this deck.
Unlock Deck
k this deck
13
When events occur at discrete points in time

A)a simulation clock is required.
B)the simulation advances to the next event.
C)the model is a discrete-event simulation.
D)All of the alternatives are correct.
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Unlock for access to all 33 flashcards in this deck.
Unlock Deck
k this deck
14
Common features of simulations--generating values from probability distributions, maintaining records, recording data and summarizing results--led to the development of

A)Excel and Lotus.
B)BASIC, FORTRAN, PASCAL, and C.
C)GPSS, SIMSCRIPT, SLAM, and Arena
D)LINDO and The Management Scientist
Unlock Deck
Unlock for access to all 33 flashcards in this deck.
Unlock Deck
k this deck
15
In order to verify a simulation model

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.
Unlock Deck
Unlock for access to all 33 flashcards in this deck.
Unlock Deck
k this deck
16
The process of determining that the computer procedure that performs the simulation calculations is logically correct is called

A)implementation.
B)validation.
C)verification.
D)repetition.
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Unlock for access to all 33 flashcards in this deck.
Unlock Deck
k this deck
17
If customer 2 has a service time of 1.6, and if customer 3 has an interarrival time of 1.1 and a service time of 2.3, when will customer 3's service be completed?

A)5.0
B)3.9
C)3.4
D)There is not enough information to answer.
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Unlock for access to all 33 flashcards in this deck.
Unlock Deck
k this deck
18
The word "uniform" in the term "uniform random numbers" means

A)all the numbers have the same number of digits.
B)if one number is, say, 10 units above the mean, the next number will be 10 units below the mean.
C)all the numbers are odd or all are even.
D)each number has an equal probability of being drawn.
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Unlock for access to all 33 flashcards in this deck.
Unlock Deck
k this deck
19
A table of uniformly distributed random numbers should be read

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.
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Unlock for access to all 33 flashcards in this deck.
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k this deck
20
Simulation is a trial-and-error approach to problem solving.
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21
Validation determines that the computer procedure is operating as it is intended to operate.
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22
The parameters of a simulation model are the controllable inputs.
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23
Computer-generated random numbers are normally distributed over the interval from 0 to 1.
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24
Using simulation to perform risk analysis is like playing out many what-if scenarios by randomly generating values for the probabilistic inputs.
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25
A static simulation model is used in situations where the state of the system affects how the system changes or evolves over time.
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26
Verification is the process of ensuring that the simulation model provides an accurate representation of the real system.
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27
Computer-generated random numbers are not technically random.
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28
For any waiting line system, (Average number of units in waiting line) = (Total waiting time) divided by (Total time of simulation).
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29
In comparing different policies using simulation, one should use the same set of random numbers whenever possible.
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30
Trials of a simulation show what would happen when values of the probabilistic input change.
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31
In a Monte Carlo simulation, each simulation trial is dependent upon the result of a previous trial.
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32
A discrete-event simulation reviews the status of the system periodically, whether or not an event occurs.
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33
To use Excel to generate a normally distributed random variable, you must know the mean and standard deviation of the distribution and have a random number between 0 and 1.
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