Jo's Hash House has outgrown its small current facility. Jo - the owner - wants to see if she might be able to serve more customers by moving to a new facility. She has three top contenders: a small diner location that is about 25% bigger; a medium facility that is 50% larger; and a large facility that is 100% bigger. Her nephew has helped her estimate the state of the economy over the next five years. If she stays where she is now ("no new facility"), she will make the same amount that she would have no matter what the economy does. The attached table shows what she and her nephew think will happen to revenues based on the size of the new facility and the economy. Complete cells with the correct information.
| Data | Secnario 1 | Scenario 2 | Scenario 3 | Results | |||
| Sales Increases | Robust | Average | Recession | EMV | Minimum | Maximum | |
| Probablilty | 0.3 | 0.4 | 0.3 | ||||
| Large Facility | 500000 | 250000 | -175000 | ||||
| Medium Facility | 350000 | 300000 | -100000 | ||||
| Small Facility | 125000 | 100000 | -25000 | ||||
| No New Facility | 0 | 0 | 0 | ||||
| Maximum | |||||||
| Expected Value of Perfect Information | MINIMAX | ||||||
| Column Best | EMV | ||||||
| MAXIMIN | |||||||
| MAXIMAX | |||||||
| Regret | |||||||
| Scenario 1 | Scenario 2 | Scenario 3 | Expected | Maximum | |||
| Probability | 0.3 | 0.4 | 0.3 | ||||
| Large | |||||||
| Medium | |||||||
| Small | |||||||
| No Facility | |||||||
| Minimum | |||||||
| Your Advice: | |||||||
| Data | Secnario 1 | Scenario 2 | Scenario 3 | Results | |||
| Sales Increases | Robust | Average | Recession | EMV | Minimum | Maximum | |
| Probablilty | 0.3 | 0.4 | 0.3 | ||||
| Large Facility | 500000 | 250000 | -175000 | 197500 | -175000 | 500000 | |
| Medium Facility | 350000 | 300000 | -100000 | 195000 | -100000 | 350000 | |
| Small Facility | 125000 | 100000 | -25000 | 70000 | -25000 | 125000 | |
| No New Facility | 0 | 0 | 0 | 0 | 0 | 0 | |
| Maximum | 197500 | -175000 | 500000 | ||||
| Expected Value of Perfect Information | 72500 | MINIMAX | 125000 | ||||
| Column Best | 150000 | 120000 | 0 | EMV | 197500 | Large | |
| MAXIMIN | 0 | No new facility | |||||
| MAXIMAX | 500000 | Large | |||||
| Regret | |||||||
| Scenario 1 | Scenario 2 | Scenario 3 | Expected | Maximum | |||
| Probability | 0.3 | 0.4 | 0.3 | ||||
| Large | 0 | 50000 | 175000 | 175000 | |||
| Medium | 150000 | 0 | 100000 | 150000 | |||
| Small | 375000 | 200000 | 25000 | 375000 | |||
| No Facility | 500000 | 300000 | 0 | 500000 | |||
| Minimum | 175000 | ||||||
| Your Advice: | Large | ||||||
Jo's Hash House has outgrown its small current facility. Jo - the owner - wants to...
1.Given is a decision payoff table. Future Demand Alternatives Low Moderate High Small Facility 53 31 22 Medium Facility 29 42 32 Large Facility -5 30 53 a) The best decision under uncertainty using MAXIMAX is to select facility b) The best decision under uncertainty using MAXIMIN is to select facility c) The best decision under uncertainty using LAPLACE/EQUALITY LIKELY is to select facility d) If the probabilities for Future Demand when it is Low = 0.35, Moderate = 0.30,...
Lori Henderson runs a specialty ski clothing shop outside of
Boone, North Carolina. She must place her order for ski parkas well
in advance of ski season because the manufacturer produces them in
the summer months. Brenda needs to determine whether to place a
large, medium, or small order for parkas. The number sold will
depend largely on whether the area receives a heavy, normal, or
light amount of snow during the ski season. The following table
summarizes the payoffs...
1. An investor has been thinking about starting her own independent women's beautification business. The investor's problem is to decide how large her business should be. The annual returns will depend on both the size of her business and a number of marketing factors related to the beauty industry and demand for beautification. The following payoff table gives the profits that would be realized during the next year for each of four investment alternatives (in 000'OMR) Size of Station Good...