Exam 27: Simulation
Exam 1: Operations and Productivity126 Questions
Exam 2: Operations Strategy in a Global Environment119 Questions
Exam 3: Project Management120 Questions
Exam 4: Forecasting141 Questions
Exam 5: Design of Goods and Services118 Questions
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Exam 9: Location Strategies120 Questions
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Exam 11: Human Resources, job Design, and Work Measurement154 Questions
Exam 12: Supply Chain Management144 Questions
Exam 13: Inventory Management163 Questions
Exam 14: Aggregate Planning and Sop116 Questions
Exam 15: Material Requirements Planning Mrpand Erp113 Questions
Exam 16: Short-Term Scheduling116 Questions
Exam 17: Jit, tps, and Lean Operations115 Questions
Exam 18: Maintenance and Reliability111 Questions
Exam 19: Sustainability in the Supply Chain80 Questions
Exam 20: Statistical Process Control144 Questions
Exam 21: Supply Chain Management Analytics55 Questions
Exam 22: Decision-Making Tools97 Questions
Exam 23: Linear Programming80 Questions
Exam 24: Transportation Models89 Questions
Exam 25: Waiting-Line Models119 Questions
Exam 26: Learning Curves105 Questions
Exam 27: Simulation75 Questions
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A simulation is "Monte Carlo" when the elements of a system being simulated exhibit chance in their behavior.
(True/False)
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Simulation allows managers to test the effects of major policy decisions on real-life systems without disturbing the real system.
(True/False)
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One reason for using simulation rather than an analytical model in an inventory problem is that the simulation is able to handle probabilistic demand and lead times.
(True/False)
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A distribution of service times at a waiting line indicates that service takes 6 minutes 30 percent of the time,7 minutes 40 percent of the time,8 minutes 20 percent of the time,and 9 minutes 10 percent of the time.In preparing this distribution for Monte Carlo analysis,the service time of 8 minutes would be represented by what random number range?
(Multiple Choice)
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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.
(True/False)
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Complete the following table in preparation for a Monte Carlo simulation.The expected demand is 3.52.


(Essay)
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A warehouse manager needs to simulate the demand placed on a product that does not fit standard models.The concept being measured is "demand during lead time," where both lead time and daily demand are variable.The historical record for this product suggests the following probability distribution.Convert this distribution into random number intervals.


(Essay)
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Random number intervals are based on cumulative probability distributions.
(True/False)
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From a portion of a probability distribution,you read that P(demand = 0)is 0.05 and P(demand = 1)is 0.10.The cumulative probability for demand = 1 would be which of the following?
(Multiple Choice)
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Simulation may be capable of producing a more appropriate answer to a complex problem than can be obtained from a mathematical model.
(True/False)
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Setting up a probability distribution,building a cumulative probability distribution,and generating random numbers are:
(Multiple Choice)
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Historical records on a certain product indicate the following behavior for demand.The data represent the 288 days that the business was open during 2000.Convert these data into random number intervals.(Round each probability used to 2 decimal places,e.g.,0.36)


(Essay)
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