Exam 26: Simulation

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A simulation model is designed to arrive at a single specific numerical answer to a given problem.

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Create a distribution of random numbers that would result in average demand per period for a Monte Carlo simulation that is equivalent to the expected demand per period using the data given by the chart below. Create a distribution of random numbers that would result in average demand per period for a Monte Carlo simulation that is equivalent to the expected demand per period using the data given by the chart below.

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Identify five applications of simulation.

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A distribution of lead times in an inventory problem indicates that lead time was 1 day 20% of the time,2 days 30% of the time,3 days 30% of the time,and.4 days 20% of the time.This distribution has been prepared for Monte Carlo analysis.The first four random numbers drawn are 06,63,57,and 02.The average lead time of this simulation is

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

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

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Monte Carlo simulations applied to queuing problems have what advantage?

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Which of the following is not a disadvantage to simulation?

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

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Simulation models that are based on the generation of random numbers may fail to give the same solution in repeated use to any particular problem.

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Identify the seven steps involved in using simulation.

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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?

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Which of the following is not an application of simulation in the area of operations?

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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

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Identify,in order,the five steps required to implement the Monte Carlo simulation technique.

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What is the Monte Carlo method?

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

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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.This distribution has been prepared for Monte Carlo analysis.The first four random numbers drawn are 07,60,77,and 49.The average service time of this simulation is

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Simulation models are inexpensive to design and use.

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The lunch counter at a small restaurant has difficulty handling the lunch business.Currently,there is only one cashier in a single-channel,single-phase system.The restaurant has collected information on the interarrival time,and service time distributions from past lunch hours.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. The lunch counter at a small restaurant has difficulty handling the lunch business.Currently,there is only one cashier in a single-channel,single-phase system.The restaurant has collected information on the interarrival time,and service time distributions from past lunch hours.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.    Random numbers for interarrival times: 32,73,41,38,73,01,09,64,34,44 Random numbers of service times: 84,55,25,71,34,57,50,44,95,64 Random numbers for interarrival times: 32,73,41,38,73,01,09,64,34,44 Random numbers of service times: 84,55,25,71,34,57,50,44,95,64

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