Question 1

Random number intervals are based on cumulative probability distributions.

Accepted Answer

A) True 
 B)False

Question 2

A small store is trying to determine if its current checkout system is adequate. Currently, there is only one cashier, so it is a single-channel, single-phase system. The store has collected information on the interarrival time, and service time distributions. They are represented in the tables below. Use the following two-digit random numbers given below to simulate 10 customers through the checkout system. What is the average time in line, and average time in system? (Set first arrival time to the interarrival time generated by first random number.
 $$\begin{array} { | c | c | c | c | c | } 
\hline \begin{array} { c } 
\text { Interarrival } \
\text { time (minutes) }
\end{array} & \text { Probability } & & \begin{array} { c } 
\text { Service time } \
\text { (minutes) }
\end{array} & \text { Probability } \
\hline 3 & .25 & & 1 & .30 \
\hline 4 & .25 & & 2 & .40 \
\hline 5 & .30 & & 3 & .20 \
\hline 6 & .20 & & 4 & .10 \
\hline
\end{array}$$ Random numbers for interarrival times: 07, 60, 77, 49, 76, 95, 51, 16, 14, 85
Random numbers of service times: 57, 17, 36, 72, 85, 31, 44, 30, 26, 09

Accepted Answer

@#IMG-DLM& @#IMG-DLM& Average time in li

Question 3

The Las Vegas method is a simulation technique that uses random elements when chance exists in their behaviour.

Accepted Answer

A) True 
 B)False

Question 4

A distribution of service times at a waiting line indicates that service takes 12 minutes 30% of the time and 14 minutes 70% of the time. Prepare the probability distribution, the cumulative probability distribution, and the random number intervals for this problem.

Accepted Answer

The answer of A distribution of service times at a...

Question 5

Explain what is meant by the concept of "time compression" in simulation modeling.

Accepted Answer

The effects of OM policies ove

Question 6

One of the disadvantages of simulation is that it

Accepted Answer

A)  does not allow for very complex problem solutions. 
B)  is not very flexible. 
C)  may be very expensive and time-consuming to develop. 
D)  is very limited in the type of probability distribution that can be used. 
E)  interferes with the production systems while the program is being run. 
A)  does not allow for very complex problem solutions. 
B)  is not very flexible. 
C)  may be very expensive and time-consuming to develop. 
D)  is very limited in the type of probability distribution that can be used. 
E)  interferes with the production systems while the program is being run.

Question 7

A simulation is "Monte Carlo" when the elements of a system being simulated exhibit chance in their behavior.

Accepted Answer

A) True 
 B)False

Question 8

A distribution of service times at a waiting line shows that service takes 6 minutes 40% of the time, 7 minutes 30% of the time, 8 minutes 20% of the time, and 9 minutes 10% of the time. Prepare the probability distribution, the cumulative probability distribution, and the random number intervals for this problem. The first five random numbers are 37, 69, 53, 80, and 60. What is the average service time of this simulation run?

Accepted Answer

@#IMG-DLM& The average service

Question 9

Historical records on a certain product indicate the following behavior for demand. The data represent the days that the business was open during 2019. Convert these data into random number intervals.
 $\begin{array}{|c|c|}
\hline\begin{array}{c}
\text { Demand in } \
\text { cases }
\end{array} & \begin{array}{c}
\text { Number of } \
\text { occurrences }
\end{array} \
\hline 7 & 52 \
\hline 8 & 9 \
\hline 9 & 14 \
\hline 10 & 39 \
\hline 11 & 72 \
\hline 12 & 102 \
\hline
\end{array}$

Accepted Answer

The answer of Historical records on a certain product indicate...

Question 10

Which of the following is not an idea behind simulation?

Accepted Answer

A)  to imitate a real-world situation mathematically 
B)  study the properties and operating characteristics 
C)  draw conclusions and make decisions based on the results 
D)  both A and B 
E)  A, B, and C are all ideas behind simulation. 
A)  to imitate a real-world situation mathematically 
B)  study the properties and operating characteristics 
C)  draw conclusions and make decisions based on the results 
D)  both A and B 
E)  A, B, and C are all ideas behind simulation.

Question 11

Simulation is usually capable of producing a more appropriate answer to a complex problem than can be obtained from a mathematical model.

Accepted Answer

A) True 
 B)False

Question 12

Explain what is meant by "simulation is not limited to using the standard probability distributions."

Accepted Answer

"Standard models" include normal, binomi

Question 13

Complete the following table in preparation for a Monte Carlo simulation.
 $$\begin{array} { | c | c | c | c | } 
\hline \text { Demand } & \text { Probability } & \begin{array} { c } 
\text { Cumulative } \
\text { Probability }
\end{array} & \begin{array} { c } 
\text { Interval of Random } \
\text { Numbers }
\end{array} \
\hline 0 & .1 & & \
\hline 1 & .15 & & \
\hline 2 & .4 & & \
\hline 3 & .15 & & \
\hline 4 & .2 & & \
\hline
\end{array}$$

Accepted Answer

The answer of Complete the following table in preparation for...

Question 14

Which of the following is true regarding the use of simulation?

Accepted Answer

A)  It is always very easy to build a simulation model. 
B)  It is very inexpensive to use a simulation model. 
C)  It always yields optimum solutions. 
D)  It allows time-compression in testing major policy decisions. 
E)  Few constraints, if any, have to be considered. 
A)  It is always very easy to build a simulation model. 
B)  It is very inexpensive to use a simulation model. 
C)  It always yields optimum solutions. 
D)  It allows time-compression in testing major policy decisions. 
E)  Few constraints, if any, have to be considered.

Question 15

Simulation is the attempt to duplicate the features, appearance, and characteristics of a real system, usually by means of a computerized model.

Accepted Answer

A) True 
 B)False

Question 16

A(n) ________ is the accumulation of individual probabilities of a distribution.

Accepted Answer

cumulative

Question 17

Which of the following are advantages to simulation? I. Time compression
II. What-if questions are possible
III. Flexibility
IV. Trial and Error approach
V. Input must be user generated

Accepted Answer

A)  I, III, V 
B)  I, II, V 
C)  II, III, IV, V 
D)  I, II, IV, V 
E)  I, II, III 
A)  I, III, V 
B)  I, II, V 
C)  II, III, IV, V 
D)  I, II, IV, V 
E)  I, II, III

Question 18

Results of simulation experiments with large numbers of trials or long experimental runs will generally be better than those with fewer trials or shorter experimental runs.

Accepted Answer

A) True 
 B)False

Question 19

Historical records on a certain product indicate the following behavior for demand. The data represent the number days that the business was open during 2019 (note that it is possible to have more than 365 days as there are multiple store locations). Convert these data into random number intervals.
 $$\begin{array} { | r | r | } 
\hline \text { Demand } & \text { Frequency } \
\hline 17 & 65 \
\hline 18 & 77 \
\hline 19 & 89 \
\hline 20 & 105 \
\hline 21 & 92 \
\hline
\end{array}$$

Accepted Answer

The answer of Historical records on a certain product indicate...

Question 20

The idea behind simulation is threefold: (1) to imitate a real-world situation mathematically, (2) then to study its properties and operating characteristics, and (3) finally to draw conclusions and make action decisions based on the results of the simulation.

Accepted Answer

A) True 
 B)False

Exam 23: Simulation

Random number intervals are based on cumulative probability distributions.

The Las Vegas method is a simulation technique that uses random elements when chance exists in their behaviour.

A distribution of service times at a waiting line indicates that service takes 12 minutes 30% of the time and 14 minutes 70% of the time. Prepare the probability distribution, the cumulative probability distribution, and the random number intervals for this problem.

Explain what is meant by the concept of "time compression" in simulation modeling.

One of the disadvantages of simulation is that it

A simulation is "Monte Carlo" when the elements of a system being simulated exhibit chance in their behavior.

Historical records on a certain product indicate the following behavior for demand. The data represent the days that the business was open during 2019. Convert these data into random number intervals. Demand in cases Number of occurrences 7 52 8 9 9 14 10 39 11 72 12 102

Which of the following is not an idea behind simulation?

Simulation is usually capable of producing a more appropriate answer to a complex problem than can be obtained from a mathematical model.

Explain what is meant by "simulation is not limited to using the standard probability distributions."

Complete the following table in preparation for a Monte Carlo simulation. Demand Probability Cumulative Probability Interval of Random Numbers 0 .1 1 .15 2 .4 3 .15 4 .2

Which of the following is true regarding the use of simulation?

Simulation is the attempt to duplicate the features, appearance, and characteristics of a real system, usually by means of a computerized model.

A(n) ________ is the accumulation of individual probabilities of a distribution.

Which of the following are advantages to simulation? I. Time compression II. What-if questions are possible III. Flexibility IV. Trial and Error approach V. Input must be user generated

Results of simulation experiments with large numbers of trials or long experimental runs will generally be better than those with fewer trials or shorter experimental runs.

The idea behind simulation is threefold: (1) to imitate a real-world situation mathematically, (2) then to study its properties and operating characteristics, and (3) finally to draw conclusions and make action decisions based on the results of the simulation.

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Operations Strategy in a Global Environment

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Design of Goods and Services

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Process Strategy and Sustainability

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Human Resources, Job Design, and Work Measurement

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Aggregate Planning

Material Requirements Planning Mrp and Erp

Short-Term Scheduling

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Learning Curves

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