Using the following table, perform ALL FIVE of the techniques for Decision Making under Uncertainty: Maximax, Maximin, Hurwicz Realism (α = 0.7), LaPlace and Minimax Regret. Use the .50 for the probability of a Good Economy and .50 for the probability of a Poor Economy. You must show your work. STATE OF NATURE DECISION ALTERNATIVE GOOD ECONOMY POOR ECONOMY Sotck market 80,000 -20,000 Bonds 30,000 20,000 CDs 23,000 23,000

Using the following table, perform ALL FIVE of the techniques for Decision Making under Uncertainty: Maximax, Maximin, Hurwicz Realism (α = 0.7), LaPlace and Minimax Regret. Use the .50 for the probability of a Good Economy and .50 for the probability of a Poor Economy. You must show your work. STATE OF NATURE DECISION ALTERNATIVE GOOD ECONOMY POOR ECONOMY Sotck market 80,000 -20,000 Bonds 30,000 20,000 CDs 23,000 23,000

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter9: Decision Making Under Uncertainty

Section: Chapter Questions

Problem 70P

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2. Using the following table, perform ALL FIVE of the techniques for Decision Making under Uncertainty: Maximax, Maximin, Hurwicz Realism (α = 0.7), LaPlace and Minimax Regret. You must show your work for obtaining the points. PROFIT ($) STRONG MARKET FAIR MARKET POOR MARKET Large facility 550,000 110,000 -310,000 Medium-sized facility 300,00 129,000 -100,000 Small facility 200,000 100,000 -32,000 No facility 0 0 0
Using the following table, perform ALL FIVE of the techniques for Decision Making under Uncertainty: Maximax, Maximin, Hurwicz Realism (α = 0.7), LaPlace and Minimax Regret. Use the .50 for the probability of a Good Economy and .50 for the probability of a Poor Economy. You must show your work for obtaining the points. STATE OF NATURE DECISION ALTERNATIVE GOOD ECONOMY POOR ECONOMY Sotck market 80,000 -20,000 Bonds 30,000 20,000 CDs 23,000 23,000
2. Using the following table, perform ALL FIVE of the techniques for decision-making under Uncertainty: Maximax, Maximin, Hurwicz Realism (α = 0.7), LaPlace, and Minimax Regret. Show the work on an Excel File. PROFIT ($) STRONG MARKET FAIR MARKET POOR MARKET Large facility 550,000 110,000 -310,000 Medium-sized facility 300,000 129,000 -100,000 Small facility 200,000 100,000 -32,000 No facility 0 0 0
Using Excel Spreadsheet and formulas for this problem (make sure cell references are unique to your table). Provide all techniques practiced previously: five (5) techniques for Decisions Making under Uncertainty, EMV, EOL, and EVPI. Use α = 0.7 for the Hurwicz. Use the .50 for the probability of a Good Economy and .50 for the probability of a Poor Economy. Show the work on an Excel file. STATE OF NATURE DECISION ALTERNATIVE GOOD ECONOMY POOR ECONOMY Sotck market 80,000 -20,000 Bonds 30,000 20,000 CDs 23,000 23,000
If you want to invest in a project that cost $3.5 million. As we are unsure about the future demand, there is a 40% probability of high demand with a present value for the project $3 million. There is a 25% probability of moderate demand with a present value of $2.5 million. In addition, there is a 35% probability of low demand with a present value is $1.5 million. Draw a decision tree for this problem. What is the expected net present value of the business? Should you invest? Explain. Assume that you can expand the project by investing another $0.6 million after you learn the true future demand state. This would make the present value of the business $3.9 million in the high‐demand state, $3.5 million in the moderate demand state, and $1.80 million in the low demand state. Draw a decision tree to reflect the option to expand. Evaluate the alternatives. What is the net present value of the business if you consider the option to expand? How valuable is the option to expand?
Need answer fast - In a decision problem under uncertainty where Return-On-Investment (ROI) is the objective pursued, valid decision criteria are (check all that applies) (a) Maximin Regret (b) Minimin (c) Maximax (d) Minimax.
3. Using the following table, perform ALL FIVE of the techniques for Decision Making under Uncertainty: Maximax, Maximin, Hurwicz Realism (α = 0.4), LaPlace and Minimax Regret. Show the work on excel file. SIZE OF FIRST STATION GOOD MARKET FAIR MARKET POOR MARKET ($) ($) ($) Small 50,000 20,000 -10,000 Medium 80,000 30,000 -20,000 Large 100,000 30,000 -40,000 Very large 300,000 25,000 -160,000
a, How is your rationality bounded with respect to your decisions in general, for example buying a new car? In what ways are you optimizing? In what ways are you satisficing? Explain. b. Which cognitive biases and behavioral challenges could affect your decision-making? How could noise, as described in this class, affect your decision-making? Explain. c. Suggest a heuristic that should be helpful when making this decision. Explain why it should usually help (which bias is it related to) and when it might lead to mistakes. d. How can you nudge yourself to a better decision? Why do you expect it to work? What other techniques can you use to limit the effects of biases and noise? e. How might the cognitive effects of scarcity (e.g. focus dividend, bandwidth tax) or present bias affect the financial aspect of your decision? How will you reduce this effect?
Your company must decide whether to introduce a new product. The sales of the product will be either at a high (success) or low (failure) level. The conditional value for this decision is as follows Decision High Low Introduce $4,000,000 -$2,000,000 Do Not Introduce 0 0 Probability 0.3 0.7 You have the option to conduct a market survey to sharpen you market demand estimate. The survey costs $200,000. The survey provides incomplete information about the sales, with three possible outcomes: (1) predicts high sales, (2) predicts low sales, or (3) inconclusive. Such surveys have in the past provided these results Result High Low Predicts High 0.4 0.1 Inconclusive 0.4 0.5 Predicts Low 0.2 0.4 c) Draw the complete decision tree, including the survey option. Explain where the values on the decision tree come from
Pareto criterion is a very useful criterion for social choices in many real-world situations since most policy changes produce both gainers and losers TRUE OR FALSE