Data in the matrix below indicates COST expected from 3 alternatives under 4 states of nature. Determine which alternative is dominant using With and Without Probability (use a = 0.3 and probability of: 30%; 20%; 40% & 10% for S1, S2, S3, and 54 respectively): Which alternative is best using Expected Value? S1 53 S4 10 15 12 20 15 25 Alternatives A1 A2 A3 S2 20 15 18 18 25 19

Data in the matrix below indicates COST expected from 3 alternatives under 4 states of nature. Determine which alternative is dominant using With and Without Probability (use a = 0.3 and probability of: 30%; 20%; 40% & 10% for S1, S2, S3, and 54 respectively): Which alternative is best using Expected Value? S1 53 S4 10 15 12 20 15 25 Alternatives A1 A2 A3 S2 20 15 18 18 25 19

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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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 $45 per unit. Probability distributions for the purchase cost, the labor cost, and the transportation cost are estimated as follows: Procurement Cost($) 10 $ 11 12 Probability 0.25 0.45 0.30 Labor Cost ($) 20 22 24 25 Probability 0.10 0.25 0.35 0.30 Transportation Cost ($) 3 5 (a) Compute profit per unit for the base-case, worst-case, and best-case scenarios. Base Case using most likely costs Profit = $ /unit Worst Case Profit = $ /unit Best Case Profit = $ /unit Probability 0.75 0.25 (b) Construct a simulation model to estimate the mean profit per unit. (Use at least 1,000 trials.) (c) 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…
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EXAMPLE 18.3 Micro Pizza Heater: Market Demand A factory renovation is needed to build a compact microwave with a new shape, which will be called the Micro Pizza Heater. The low sales-volume prediction (20,000 heaters per year) has a subjectively estimated probability of 30%. The most likely market prediction is 30,000 units sold per year. The optimistic market prediction (30,000 sold the ﬁrst year, with annual increases of 5000) has a subjectively estimated probability of 10%. In all cases, the factory equipment and the market will last 5 years. The net revenue will be $10 per microwave. What is the probability distribution for the net revenue?
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