Exam 12: Introduction to Simulation Using Analytic Solver Platform
Exam 1: Introduction to Modeling and Decision Analysis74 Questions
Exam 2: Introduction to Optimization and Linear Programming73 Questions
Exam 3: Modeling and Solving Lp Problems in a Spreadsheet75 Questions
Exam 4: Sensitivity Analysis and the Simplex Method77 Questions
Exam 5: Network Modeling84 Questions
Exam 6: Integer Linear Programming88 Questions
Exam 7: Goal Programming and Multiple Objective Optimization65 Questions
Exam 8: Nonlinear Programming and Evolutionary Optimization69 Questions
Exam 9: Regression Analysis82 Questions
Exam 10: Data Mining102 Questions
Exam 11: Time Series Forecasting81 Questions
Exam 12: Introduction to Simulation Using Analytic Solver Platform70 Questions
Exam 13: Queuing Theory87 Questions
Exam 14: Decision Analysis116 Questions
Exam 15: Project Management Online65 Questions
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The Analytic Solver Platform is a good simulation tool because
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A simulation model was replicated 100 times yielding a mean of 82.59 with variance of 17.66.Of the 100 replications,11 replications yielded an outcome over a value of 100.The 95% confidence interval of the mean is the interval 81.77,83.41).Of the 100 simulation outcomes,65 outcomes failed to fall within this interval.What is wrong with the confidence interval?
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What gallery distribution should be used for generating the number of times "tails" come up over 15 flips of a "fair" coin?
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Which Analytic Solver Platform function will generate random integer numbers between 2 and 8?
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Which of the following distributions can be generated by Analytic Solver Platform?
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Exhibit 12.3
The following questions use the information below.
An auto parts store wants to simulate its inventory system for engine oil.The company has collected data on the shipping time for oil and the daily demand for cases of oil.A case of oil generates a $10 profit.Customers can buy oil at any auto parts store so there are no backorders the company loses the sale and profit).The company orders 30 cases whenever the inventory position falls below the reorder point of 15 cases.Orders are placed at the beginning of the day and delivered at the beginning of the day so the oil is available on the arrival day.An average service level of 99% is desired.The following spreadsheets have been developed for this problem.The company has simulated 2 weeks of operation for their inventory system.The current level of on-hand inventory is 25 units and no orders are pending.
1
-Using the information in Exhibit 12.3,what formula should go in cell H3 to compute the service level?

(Multiple Choice)
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A simulation model was replicated 100 times yielding a mean of 82.59 with variance of 17.66.Of the 100 replications,11 replications yielded an outcome over a value of 100.What is the 90% confidence interval on the mean?
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What method is used to generate observations from a distribution?
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Exhibit 12.4.
The following questions use the information below.
The manager of a Washington,DC sightseeing tour company is concerned about overbooking for one of his bus tours.The bus has 15 seats but sometimes there are empty seats.His records show that about 20% of ticket holders do not show up for their tour.Tickets cost $10 and are non-refundable.If the manager overbooks the tour and more than 15 passengers show up,some of them will be bumped to a later tour.This bumping costs the company $25 in various expenses to keep the customer happy until the next tour.The manager wants to see what happens to profits if 18 reservations are accepted.
-Using the information in Exhibit 12.4,what Analytic Solver Platform function should be used in cell C10 to determine the number of Passengers to Board?

(Multiple Choice)
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Exhibit 12.3
The following questions use the information below.
An auto parts store wants to simulate its inventory system for engine oil.The company has collected data on the shipping time for oil and the daily demand for cases of oil.A case of oil generates a $10 profit.Customers can buy oil at any auto parts store so there are no backorders the company loses the sale and profit).The company orders 30 cases whenever the inventory position falls below the reorder point of 15 cases.Orders are placed at the beginning of the day and delivered at the beginning of the day so the oil is available on the arrival day.An average service level of 99% is desired.The following spreadsheets have been developed for this problem.The company has simulated 2 weeks of operation for their inventory system.The current level of on-hand inventory is 25 units and no orders are pending.
1
-Using the information in Exhibit 12.3,what formula should go in cell J8 to determine the arrival date for an order?

(Multiple Choice)
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In general there are two primary issues involved in risk.What are these two issues?
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Exhibit 12.4.
The following questions use the information below.
The manager of a Washington,DC sightseeing tour company is concerned about overbooking for one of his bus tours.The bus has 15 seats but sometimes there are empty seats.His records show that about 20% of ticket holders do not show up for their tour.Tickets cost $10 and are non-refundable.If the manager overbooks the tour and more than 15 passengers show up,some of them will be bumped to a later tour.This bumping costs the company $25 in various expenses to keep the customer happy until the next tour.The manager wants to see what happens to profits if 18 reservations are accepted.
-Using the information in Exhibit 12.4,what formula should go in cell C14 of the worksheet to determine the Cost of Bumping Passengers?

(Multiple Choice)
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A machine produces an average of 500 parts per day with a standard deviation of 10 parts.This is a normally distributed variable.The percent of defective parts ranges from 8-12%.Parts which need minor repair comprise 75% of the defective parts and cost $5 to repair.The rest of the defective parts cost $20 to repair.What formulas should go in cells B8:B15 to compute the daily cost of defective parts?
A B E F 1 Initial Conditions: 2 Number of Parts: Average 500 Stcd dev 10 Normal 3 \% Defective Lo 8\% 12\% Cont. Uniform 4 \% Minor Defects 75\% Constant 5 Cost of Minor Defect \ 5 Constant 6 Cost of Major Defect \ 20 Constant 7 8 UnitsProduced 500 9 \% Defective 8.2\% 10 Total \# Defective 41 11 \#WthMinor Defects 31 12 Cost of Minor Defects \ 155 13 \# With Major Defects 10 14 Cost of Major Defects \ 200 15 Total Cost \ 355
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