Decision Making Under Uncertainty In the Table, we apply the concept of Maximax choice, the Maxmin choice, and the equally likely choice. Given the data/information in the Table, compute for the row average. After that, determine the amount of the ROW AVERAGE that would be adopted to be best alternative. The best alternative is the alternative with the highest value of the row average. In this case, which option is more attractive? Values in PhP State of Nature Favorable Unfavorable Maximum Market Minimum in Row Alternatives Market in Row Row | Average Project A 80,000.00 - 20,000.00 | 80,000.00 20,000.00 Project B | 40,000.00 - 25,000.00 | 40,000.00 25,000.00 Project C 30,000.00 | 10,000.00 30,000.00 10,000.00 Project D (Do Nothing)

Decision Making Under Uncertainty In the Table, we apply the concept of Maximax choice, the Maxmin choice, and the equally likely choice. Given the data/information in the Table, compute for the row average. After that, determine the amount of the ROW AVERAGE that would be adopted to be best alternative. The best alternative is the alternative with the highest value of the row average. In this case, which option is more attractive? Values in PhP State of Nature Favorable Unfavorable Maximum Market Minimum in Row Alternatives Market in Row Row | Average Project A 80,000.00 - 20,000.00 | 80,000.00 20,000.00 Project B | 40,000.00 - 25,000.00 | 40,000.00 25,000.00 Project C 30,000.00 | 10,000.00 30,000.00 10,000.00 Project D (Do Nothing)

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter13: Regression And Forecasting Models

Section13.4: Multiple Regression Models

Problem 16P: Suppose that a regional express delivery service company wants to estimate the cost of shipping a...

See similar textbooks

Similar questions

Play Things is developing a new Lady Gaga doll. The company has made the following assumptions: The doll will sell for a random number of years from 1 to 10. Each of these 10 possibilities is equally likely. At the beginning of year 1, the potential market for the doll is two million. The potential market grows by an average of 4% per year. The company is 95% sure that the growth in the potential market during any year will be between 2.5% and 5.5%. It uses a normal distribution to model this. The company believes its share of the potential market during year 1 will be at worst 30%, most likely 50%, and at best 60%. It uses a triangular distribution to model this. The variable cost of producing a doll during year 1 has a triangular distribution with parameters 15, 17, and 20. The current selling price is 45. Each year, the variable cost of producing the doll will increase by an amount that is triangularly distributed with parameters 2.5%, 3%, and 3.5%. You can assume that once this change is generated, it will be the same for each year. You can also assume that the company will change its selling price by the same percentage each year. The fixed cost of developing the doll (which is incurred right away, at time 0) has a triangular distribution with parameters 5 million, 7.5 million, and 12 million. Right now there is one competitor in the market. During each year that begins with four or fewer competitors, there is a 25% chance that a new competitor will enter the market. Year t sales (for t 1) are determined as follows. Suppose that at the end of year t 1, n competitors are present (including Play Things). Then during year t, a fraction 0.9 0.1n of the company's loyal customers (last year's purchasers) will buy a doll from Play Things this year, and a fraction 0.2 0.04n of customers currently in the market ho did not purchase a doll last year will purchase a doll from Play Things this year. Adding these two provides the mean sales for this year. Then the actual sales this year is normally distributed with this mean and standard deviation equal to 7.5% of the mean. a. Use @RISK to estimate the expected NPV of this project. b. Use the percentiles in @ RISKs output to find an interval such that you are 95% certain that the companys actual NPV will be within this interval.
Dilberts Department Store is trying to determine how many Hanson T-shirts to order. Currently the shirts are sold for 21, but at later dates the shirts will be offered at a 10% discount, then a 20% discount, then a 40% discount, then a 50% discount, and finally a 60% discount. Demand at the full price of 21 is believed to be normally distributed with mean 1800 and standard deviation 360. Demand at various discounts is assumed to be a multiple of full-price demand. These multiples, for discounts of 10%, 20%, 40%, 50%, and 60% are, respectively, 0.4, 0.7, 1.1, 2, and 50. For example, if full-price demand is 2500, then at a 10% discount customers would be willing to buy 1000 T-shirts. The unit cost of purchasing T-shirts depends on the number of T-shirts ordered, as shown in the file P10_36.xlsx. Use simulation to determine how many T-shirts the company should order. Model the problem so that the company first orders some quantity of T-shirts, then discounts deeper and deeper, as necessary, to sell all of the shirts.
Suppose that a regional express delivery service company wants to estimate the cost of shipping a package (Y) as a function of cargo type, where cargo type includes the following possibilities: fragile, semifragile, and durable. Costs for 15 randomly chosen packages of approximately the same weight and same distance shipped, but of different cargo types, are provided in the file P13_16.xlsx. a. Estimate a regression equation using the given sample data, and interpret the estimated regression coefficients. b. According to the estimated regression equation, which cargo type is the most costly to ship? Which cargo type is the least costly to ship? c. How well does the estimated equation fit the given sample data? How might the fit be improved? d. Given the estimated regression equation, predict the cost of shipping a package with semifragile cargo.
A decision table describes results associated with which of the following A) Two decision variables B) One decision variable and one uncertain variable C) Two uncertain variables D) None of the above
An electronics factory operates on four production lines: laptops, mobiles, desktop computers, smart boards, and there were three cases of demand (weak, medium, and high), and the matrix of returns was as follows: Laptops Mobiles Risk Desktop Computers Smart Boards High 40 45 35 30 Economic state Medium 25 15 30 20 1. The problem presented above is decision-making under Certainty Uncertainty Weak 10 5 -10 -5 Save All Answers Save and Submit
Develop a spreadsheet for the question. The vice president of finance has looked at your ooriginal scoring model and feels that tax considerations should be included in teh model with a weight of 15. In addition, the VP has scored the methods on tax considerations as follows: method A recieved a score of 3, method B recieved a score of 2, and Method C recieved a score of 1. How would this additional information affect your recommendation?
Company is an automobile replacement parts dealer in large metropolitan community. B company is preparing its sales forecasts for the coming year. Data regarding both B company’s and industry sales of replacement parts as well as both the used and new B company sales in the community for the last 10 years have been accumulated. If B company wants to determine if there is a historical trend in the growth of its sales as well as the growth of industry sales of replacement parts, the company would employ A. Simulation techniques B. Queuing theory C. Statistical sampling D. Time series analysis
What is the best decision alternative under Maximax criterion? (Provide complete decision table solution) DIHL Co. is a Danao-based logistics company owned by Engr. Donald H. Lalican. Anticipating the growing demand for delivery services, he developed a strategic plan for the year 2022. The options are to hire additional delivery crews in their Mandaue facility, construct a new facility in Talisay City, or subcontract Ohlala Move, a small- time company. A study conducted by the marketing department forecasted the following payoff values, which are summarized in the table below. The values are expressed as gains and alpha = 0.6. States of Nature Decision Alternatives Failure Low Moderate High Hire additional Drivers in Mandaue -450,000 -250,000 250,000 500,000 Construct a facility in Talisay -800,000 -400,000 300,000 700,000 Subcontracting Ohlala Move -100,000 -10,000 150,000 300,000 Hire Additional Drivers in Mandaue Construct a Facility in Talisay O Subcontracting Ohlala Move Both…
Columbus grocery store faces demand for freshly squeezed pomegranate juice. The daily demand for freshly squeezed juice ranges from 10 to 20 gallons. The grocery store offers the juice in a special 1 gallon bottle. Each gallon costs $8 to make and is sold for $15. Any juice that is not sold by the end of the day can all be sold to a local food processor for $5. Compute the decision rule ratio using the marginal analysis (rounding it to two decimal places). 0.53 O0.47 O 0.50 O 0.30 O0.70
Use the below formula to calculate the CLV for the following: A manager of a cable company wants to determine if it is strategic to acquire the Brett family, by estimating their household-level CLV. The manager estimates that it will cost the company $80 (A) to get the Bretts’ to switch, and the Bretts’ will generate $150 profit each year (M), with a $30 annual marketing cost to retain them (C). The estimated retention rate (r) is 65%, and the current discount rate is 5%.(d) i) CLV= ii) Based on your calculation, are the Brett’s profitable to the cable company?
The University of Miami bookstore stocks textbooks in preparation for sales each semester. It normally relies on departmental forecasts and preregistration records to determine how many copies of a text are needed. Preregistration shows 85 operations management students enrolled, but bookstore manager Vaidy Jayaraman has second thoughts, based on his intuition and some historical evidence. Vaidy believes that the distribution of sales may range from 65 to 85 units, according to the following probability model: Demand 65 70 75 80 85 Stock 0.1 0.25 0.2 0.1 0.35 This textbook costs the bookstore $70 and sells for $95 Any unsold copies can be returned to the publisher, less a restocking fee and shipping, for a net refund o $30. a) Based on the given information, Vaidy's conditional profits table for the bookstore is: Demand 65 70 75 80 85 Stock 0.1 0.25 0.2 0.1 0.35 65 ? ? ? ? ?
The University of Miami bookstore stocks textbooks in preparation for sales each semester. It normally relies on departmental forecasts and preregistration records to determine how many copies of a text are needed. Preregistration shows 85 operations management students enrolled, but bookstore manager Vaidy Jayaraman has second thoughts, based on his intuition and some historical evidence. Vaidy believes that the distribution of sales may range from 65 to 85 units, according to the following probability model: Demand 65 70 75 80 85 Probability 0.15 0.20 0.30 0.20 0.15 This textbook costs the bookstore $65 and sells for $90. Any unsold copies can be returned to the publisher, less a restocking fee and shipping, for a net refund of $30. a) Based on the given information, Vaidy's conditional profits table for the bookstore is: Demand 65 70 75 80 85 Stock p = 0.15 p = 0.20 p = 0.30 p = 0.20 p = 0.15 65