Exam 12: Simulation
Exam 1: Introduction63 Questions
Exam 2: An Introduction to Linear Programming66 Questions
Exam 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution56 Questions
Exam 4: Linear Programming Applications in Marketing, Finance, and Operations Management63 Questions
Exam 5: Advanced Linear Programming Applications46 Questions
Exam 6: Distribution and Network Models70 Questions
Exam 7: Integer Linear Programming61 Questions
Exam 8: Nonlinear Optimization Models51 Questions
Exam 9: Project Scheduling: Pertcpm59 Questions
Exam 10: Inventory Models65 Questions
Exam 11: Waiting Line Models68 Questions
Exam 12: Simulation62 Questions
Exam 13: Decision Analysis97 Questions
Exam 14: Multicriteria Decisions50 Questions
Exam 15: Time Series Analysis and Forecasting63 Questions
Exam 16: Markov Processes49 Questions
Exam 17: Linear Programming: Simplex Method51 Questions
Exam 18: Simplex-Based Sensitivity Analysis and Duality35 Questions
Exam 19: Solution Procedures for Transportation and Assignment Problems44 Questions
Exam 20: Minimal Spanning Tree19 Questions
Exam 21: Dynamic Programming38 Questions
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Attendees at the National Management Science Society (NMSS) Conference register by first standing in line to pay their fees. They then proceed to a designated line based on the first letter of their last name to collect their conference materials.
At the conference, it is planned to have three different parallel lines for the collection of materials: one each for people whose last names begin with A-H, I-Q, and R-Z respectively.
During each minute of the morning registration period it is anticipated that attendees will arrive to pay their fees according to the following distribution:
The time to pay one's fees is either one minute or two minutes depending upon whether one uses a check or credit card. The probability of a one-minute time is .60.
After paying his fees, an attendee then goes to the correct line for the conference materials. At this year's conference 35% of the attendees have last names beginning with A-H, 36% with last names beginning with I-Q, and 29% with last names beginning with R-Z. The time required to pick up conference materials is fixed at 2 minutes.
a. Simulate the waiting line for the first 10 minutes of the morning registration that begins at 8:00 AM. Use the following random numbers to generate:
Number of arrivals in any given minute: 71, 95, 83, 44, 34, 49, 88, 56, 05, 39
Registration fee service time: 51, 79, 09, 67, 15, 58, 04, 78, 30, 56
First letter of the last name: 15, 08, 19, 45, 76, 42, 38, 47, 82, 37
b. What is the average size of the waiting line to pay fees (not including the person being served), and the average customer waiting time to pay fees based on this simulation?

(Essay)
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Each simulation run provides only a sample of how the real system will operate.
(True/False)
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Estimates of the financial information for a new product show the following information:
Use the random numbers .51, .97, .58, .22, and .16 to simulate five trials. What is the net profit for each trial?

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Which of the following statements is INCORRECT regarding the advantages of simulation?
(Multiple Choice)
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In comparing different policies using simulation, one should use the same set of random numbers whenever possible.
(True/False)
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How are both analysts and managers involved in the validation process?
(Short Answer)
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Simulation is an excellent technique to use when a situation is too complicated to use standard analytical procedures.
(True/False)
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Computer-generated random numbers are normally distributed over the interval from 0 to 1.
(True/False)
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A discrete-event simulation reviews the status of the system periodically, whether or not an event occurs.
(True/False)
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In a Monte Carlo simulation, each simulation trial is dependent upon the result of a previous trial.
(True/False)
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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
(Multiple Choice)
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A simulation model provides a convenient experimental laboratory for the real system.
(True/False)
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A value for probabilistic input from a discrete probability distribution
(Multiple Choice)
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A simulation model uses the mathematical expressions and logical relationships of the
(Multiple Choice)
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A quantity that is difficult to measure with certainty is called a
(Multiple Choice)
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A graphical tool that helps describe the logic of the simulation model is a
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Simulation models that must take into account how the system changes or evolves over time are referred to as dynamic simulation models.
(True/False)
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