a-c please. The management of Brinkley Corporation is interested in using simulation to estimate the profit (in $) per unit for a new product. The selling price for the product will be $46 per unit. Probabilitydistributions for the purchase cost, the labor cost, and the transportation cost are estimated in the following table.ProcurementCost($)(c)101112(f)Probability0.250.450.30LaborCost ($)20222425Probability0.100.250.35(a) Compute profit (in $) per unit for the base-case scenario./unit0.30(b) Compute profit (in $) per unit for the worst-case scenario./unitCompute profit (in $) per unit for the best-case scenario./unitTransportationCost ($)35Probability0.750.25(d) Construct a simulation model to estimate the mean profit (in $) per unit. (Use at least 1,000 trials. Round your answer to two decimal places.)(e) Why is the simulation approach to risk analysis preferable to generating a variety of what-if scenarios?Simulation will provide ---Select---✓of the profit per unit values which can then be used to find ---Select--- of an unacceptably low profit.Management believes the project may not be sustainable if the profit per unit is less than $5. Use simulation to estimate the probability the profit per unit will be less than $5. (Round youranswer to three decimal places.)

Find the given details below: Given details: Procurement cost Probability Labor cost…

Answered: The management of Brinkley Corporation…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter9: Decision Making Under Uncertainty

Section9.4: The Precision Tree Add-in

Problem 9P

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The management of Brinkley Corporation is interested in using simulation to estimate the profit per unit for a new product. The selling price for the product will be $45 per unit. Probability distributions for the purchase cost, the labor cost, and the transportation cost are estimated as follows. ProcurementCost ($) Probability LaborCost ($) Probability Transportation Cost ($) Probability 10 0.20 20 0.15 3 0.75 11 0.45 22 0.20 5 0.25 12 0.35 24 0.35 25 0.30 Construct a simulation model to estimate the average profit (in $) per unit and the variance of the profit per unit. (Use at least 1,000 trials. Round your answer to two decimal places. Use the values you enter to make later calculations.) average$ variance What is a 95% confidence interval (in $) around this average? (Round your answers to two decimal places.) $ to $ (e) Why is the simulation approach to risk analysis preferable to generating a variety of what-if scenarios? A simulation model does…
The management of Brinkley Corporation is interested in using simulation to estimate the profit per unit for a new product. The selling price for the product will be $45 per unit. Probability distributions for the purchase cost, the labor cost, and the transportation cost are estimated as follows: ProcurementCost ($) Probability Labor Cost ($) Probability TransportationCost ($) Probability 10 0.25 20 0.10 3 0.75 11 0.45 22 0.25 5 0.25 12 0.30 24 0.35 25 0.30 Compute profit per unit for the base-case, worst-case, and best-case.Profit per unit for the base-case: $ fill in the blank 1Profit per unit for the worst-case: $ fill in the blank 2Profit per unit for the best-case: $ fill in the blank 3 Construct a simulation model to estimate the mean profit per unit. If required, round your answer to the nearest cent.Mean profit per unit = $ fill in the blank 4 Why is the simulation approach to risk analysis preferable to generating a variety of what-if…
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A retailer is deciding how many units of a certain product to stock. The historical probability distribution of sales for this product is O units, 0.2; 1 unit, 0.3; 2 units, 0.4, and 3 units, 0.1. The product costs $11 per unit and sells for $25 per unit. What is the conditional value for the decision alternative "Stock 3 units" and state of nature "Sell 1 unit"? $1 profit $5 profit -$5 profit $15 profit
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The management of Brinkley Corporation is interested in using simulation to estimate the profit (in $) per unit for a new product. The selling price for the product will be $46 per unit. Probability distributions for the purchase cost, the labor cost, and the transportation cost are estimated in the following table. Procurement Cost($) Probability Labor Cost ($) Probability Transportation Cost ($) Probability 10 0.25 20 0.10 3 0.75 11 0.45 22 0.25 5 0.25 12 0.30 24 0.35 25 0.30 (a) Compute profit (in $) per unit for the base-case scenario. x /unit $ 7 (b) Compute profit (in $) per unit for the worst-case scenario. x /unit $ 3 (c) Compute profit (in $) per unit for the best-case scenario. $ 12 ✓ /unit (d) Construct a simulation model to estimate the mean profit (in $) per unit. (Use at least 1,000 trials. Round your answer to two decimal places.) $ 7.12 (e) Why is the simulation approach to risk analysis preferable to generating a variety of what-if scenarios? Simulation will provide a…
The XY Manufacturing Company must decide whether to manufacture a component part at its plant or purchase the component part from a supplier. The resulting profit is dependent upon the demand for the product. The following payoff table shows the projected profit (in ten thousand of pesos): Decision Alternative Manufacture, d₁ Purchase, d₂ Low Demand $1 -100 50 State of Nature Medium Demand S2 200 225 High Demand S3 500 350 MA The state-of-nature probabilities are P(s₁) = 0.35, P(s₂) = 0.35, and P(S3) = 0.30. a. Use a decision tree to recommend a decision. b. Use EVPI to determine whether XY Manufacturing Company should attempt to obtain a better estimate of demand.
A large apparel company wants to determine the profitability of one of its most popular products, a particular type of jacket. Demand is uncertain, due to economic conditions, competition, weather and other factors, and the following probability distributions have been estimated for each of the company's three regions: Estimate of Sales in Region 1 Units Probability 9,000 0.05 10,000 0.10 11,000 0.15 12,000 0.35 13,000 0.25 14,000 0.10 Estimate of Sales in Region 2 Smallest Value: 5000 units Most Likely Value: 7000 units Largest Value: 12000 units Estimate of Sales in Region 3 (assume uniform distribution) Minimum Value: 6000 units Maximum Value: 9000 units Use @RISK distributions to generate the three random variables for regional sales and derive a distribution for the total sales. What is the expected total sales? Total sales is…
The Gorman Manufacturing Company must decide whether to manufacture a component part at its Milan, Michigan, plant or purchase the component part from a supplier. The resulting profit is dependent upon the demand for the product. The following payoff table shows the projected profit (in thousands of dollars): State of Nature Low Demand Medium Demand High Demand Decision Alternative s1 s2 s3 Manufacture, d1 -20 40 100 Purchase, d2 10 45 70 The state-of-nature probabilities are P(s1) = 0.35, P(s2) = 0.35, and P(s3) = 0.30. Use a decision tree to recommend a decision.Recommended decision: Use EVPI to determine whether Gorman should attempt to obtain a better estimate of demand. EVPI: $ fill in the blank 3 A test market study of the potential demand for the product is expected to report either a favorable (F) or unfavorable (U) condition. The relevant conditional probabilities are as follows: P(F | s1) = 0.10 P(U | s1) = 0.90 P(F | s2) = 0.40 P(U |…
The Gorman Manufacturing Company must decide whether to manufacture a component part at its Milan, Michigan, plant or purchase the component part from a supplier. The resulting profit is dependent upon the demand for the product. The following payoff table shows the projected profit (in thousands of dollars): state of nature low demand medium demnad high demand Decision alternative s1 s2 s3 manufacture d1 -20 40 100 purchase d2 10 45 70 The state-of-nature probabilities are P(s1) = 0.35, P(s2) = 0.35, and P(s3) = 0.30. a. A test market study of the potential demand for the product is expected to report either a favourable (F) or unfavourable (U) condition. The relevant conditional probabilities are as follows: P(F|S1)=0.10 P (U|S1)=0.90 P(F|S2)=0.40 P (U|S2)=0.60 P(F|S3)=0.60 P (U|S3)=0.40 Decision tree leading to market study/ prediction of favorable…
The Gorman Manufacturing Company must decide whether to manufacture a component part at its Milan, Michigan, plant or purchase the component part from a supplier. The resulting profit is dependent upon the demand for the product. The following payoff table shows the projected profit (in thousands of dollars): state of nature low demand medium demnad high demand Decision alternative s1 s2 s3 manufacture d1 -20 40 100 purchase d2 10 45 70 The state-of-nature probabilities are P(s1) = 0.35, P(s2) = 0.35, and P(s3) = 0.30. a. A test market study of the potential demand for the product is expected to report either a favourable (F) or unfavourable (U) condition. The relevant conditional probabilities are as follows: P(F|S1)=0.10 P (U|S1)=0.90 P(F|S2)=0.40 P (U|S2)=0.60 P(F|S3)=0.60 P (U|S3)=0.40 Compute the probabilities by completing the table Sate of…
The Gorman Manufacturing Company must decide whether to manufacture a component part at its Milan, Michigan, plant or purchase the component part from a supplier. The resulting profit is dependent upon the demand for the product. The following payoff table shows the projected profit (in thousands of dollars): state of nature low demand medium demnad high demand Decision alternative s1 s2 s3 manufacture d1 -20 40 100 purchase d2 10 45 70 The state-of-nature probabilities are P(s1) = 0.35, P(s2) = 0.35, and P(s3) = 0.30. a. A test market study of the potential demand for the product is expected to report either a favourable (F) or unfavourable (U) condition. The relevant conditional probabilities are as follows: P(F|S1)=0.10 P (U|S1)=0.90 P(F|S2)=0.40 P (U|S2)=0.60 P(F|S3)=0.60 P (U|S3)=0.40 A.Compute the probabilities by completing the table Sate of…

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