Exam 23: Simulation
Exam 1: Operations and Productivity134 Questions
Exam 2: Operations Strategy in a Global Environment145 Questions
Exam 3: Project Management131 Questions
Exam 4: Forecasting151 Questions
Exam 5: Design of Goods and Services136 Questions
Exam 6: Managing Quality139 Questions
Exam 7: Process Strategy and Sustainability141 Questions
Exam 8: Location Strategies149 Questions
Exam 9: Layout Strategies171 Questions
Exam 10: Human Resources, Job Design, and Work Measurement202 Questions
Exam 11: Supply-Chain Management152 Questions
Exam 12: Inventory Management178 Questions
Exam 13: Aggregate Planning144 Questions
Exam 14: Material Requirements Planning Mrp and Erp184 Questions
Exam 15: Short-Term Scheduling149 Questions
Exam 16: Lean Operations147 Questions
Exam 17: Maintenance and Reliability139 Questions
Exam 18: Decision-Making Tools107 Questions
Exam 19: Linear Programming110 Questions
Exam 20: Transportation Models104 Questions
Exam 21: Waiting-Line Models145 Questions
Exam 22: Learning Curves121 Questions
Exam 23: Simulation102 Questions
Exam 24: Supply Chain Management Analytics65 Questions
Exam 25: Sustainability in the Supply Chain11 Questions
Exam 26: Statistical Process Control166 Questions
Exam 27: Capacity and Constraint Management117 Questions
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Explain the difference between random numbers and random number intervals.
(Essay)
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Monte Carlo simulations applied to queuing problems have what advantage?
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From a portion of a probability distribution, you read that P(demand = 0) is 0.25, and P(demand = 1) is 0.30. The random number intervals for this distribution beginning with 01 are
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The ________ method is a simulation technique that uses random elements when chance exists in their behaviour.
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Complete the following table in preparation for a Monte Carlo simulation.
If a random number of 77 is generated what is the demand?
Demand Probability Cumulative Probability Interval of Random Numbers 0 .1 2 11-25 3 .3 4 91-100
(Essay)
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In most real-world inventory problems, lead time and demand vary in ways that make simulation a necessity because mathematical modeling is extremely difficult.
(True/False)
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Julie's Diamond Boutique is very concerned with its order policies related to one-carat diamond solitaires. Their current policy is to order 10 diamonds whenever their inventory reaches 6 diamonds (unless there is already an ordered delivery due). Currently there are 8 diamonds on hand. Orders are placed at the end of the month and take one month to arrive . The following distribution of monthly sales has been developed using historical sales. If Julie's does not have a diamond on hand, it will result in a lost sale. Use the following random numbers to determine the number of lost sales of one-carat solitaires at Julie's over 12 months.
Monthly sales Probability 3 .20 4 .30 5 .20 6 .20 7 .10 Random numbers for sales: 10, 24, 03, 32, 23, 59, 95, 34, 34, 51, 08, 48
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The numbers used to represent each possible value or outcome in a computer simulation are referred to as ________.
(Short Answer)
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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.
Interarrival time (minutes) Probability Service time (minutes) Probability 1 .20 1 .20 2 .20 2 .30 3 .30 3 .30 4 .20 4 .20 5 .10 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
(Essay)
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Sam's hardware store has an order policy of ordering 11 liters of a specific primer whenever 5 liters are on hand (unless there's already an ordered delivery due). The store would like to see how well their policy works. Assume that beginning inventory in period 1 is 12 units, that orders are placed at the end of the week to be received one week later. (In other words, if an order is placed at the end of week one, it is available at the beginning of week 3.) Assume that if inventory is not on hand, it will result in a lost sale. The weekly demand distribution obtained from past sales is found in the table below. Also, use the random numbers that are provided and simulate 5 weeks worth of sales. How many sales are lost?
Weekly sales Probability 3 .25 4 .25 5 .30 6 .20 Random numbers for sales: 87, 64, 79, 21, 85
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Sam's hardware store has an order policy of ordering 12 liters of a specific primer whenever 7 liters are on hand (unless there's already an ordered delivery due). The store would like to see how well their policy works. Assume that beginning inventory in period 1 is 15 units, that orders are placed at the end of the week to be received one week later. (In other words, if an order is placed at the end of week one, it is available at the beginning of week 3.) Assume that if inventory is not on hand, it will result in a lost sale. The weekly demand distribution obtained from past sales is found in the table below. Also, use the random numbers that are provided and simulate 5 weeks worth of sales. How many sales are lost?
Weekly sales Probability 3 .20 4 .30 5 .30 6 .20 Random numbers for sales: 37, 60, 79, 21, 85
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Complete the following table in preparation for a Monte Carlo simulation. The expected demand is 3.2.
Demand Probability Cumulative Probability Interval of Random Numbers 0 .1 2 11-25 3 .3 4 91-100
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One effective use of simulation is to study problems for which the mathematical models of operations management are not realistic enough.
(True/False)
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A reason for the use of simulation in queuing is that the four standard queuing models do not allow for unusual arrival and service distributions.
(True/False)
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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.
Demand Probability Cumulative Probability Interval of Random Numbers 0 . 1 .15 2 .4 3 .15 4 .2
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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
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