The Aggies will host Tech in this year's homecoming football game. Based on advance ticket sales, the athletic department has forecast hot dog sales as shown in the following table: TT Sales Quantity Probability 1,000 2,000 3,000 4,000 5,000 0.10 0.20 0.30 0.20 0.20 The school buys premium hot dogs for $1.60 and sells them during the game at $2.80 each. Hot dogs left over after the game will be sold for $0.60 each to the Aggie student cafeteria to be used in making hotdog casserole. Use a payoff matrix to determine the number of hot dogs to buy for the game. hot dogs. (Enter your response as an integer.)

The Aggies will host Tech in this year's homecoming football game. Based on advance ticket sales, the athletic department has forecast hot dog sales as shown in the following table: TT Sales Quantity Probability 1,000 2,000 3,000 4,000 5,000 0.10 0.20 0.30 0.20 0.20 The school buys premium hot dogs for $1.60 and sells them during the game at $2.80 each. Hot dogs left over after the game will be sold for $0.60 each to the Aggie student cafeteria to be used in making hotdog casserole. Use a payoff matrix to determine the number of hot dogs to buy for the game. hot dogs. (Enter your response as an integer.)

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Description: The Aggies will host Tech in this year's homecoming football game. Based on advance ticket sales, the athletic department has forecast hot dog sales as shown in thefollowing table:TTSales Quantity Probability1,0002,0003,0004,0005,0000.100.200.300.20

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter7: Nonlinear Optimization Models

Section: Chapter Questions

Problem 56P

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Scenario 3 Ben Gibson, the purchasing manager at Coastal Products, was reviewing purchasing expenditures for packaging materials with Jeff Joyner. Ben was particularly disturbed about the amount spent on corrugated boxes purchased from Southeastern Corrugated. Ben said, I dont like the salesman from that company. He comes around here acting like he owns the place. He loves to tell us about his fancy car, house, and vacations. It seems to me he must be making too much money off of us! Jeff responded that he heard Southeastern Corrugated was going to ask for a price increase to cover the rising costs of raw material paper stock. Jeff further stated that Southeastern would probably ask for more than what was justified simply from rising paper stock costs. After the meeting, Ben decided he had heard enough. After all, he prided himself on being a results-oriented manager. There was no way he was going to allow that salesman to keep taking advantage of Coastal Products. Ben called Jeff and told him it was time to rebid the corrugated contract before Southeastern came in with a price increase request. Who did Jeff know that might be interested in the business? Jeff replied he had several companies in mind to include in the bidding process. These companies would surely come in at a lower price, partly because they used lower-grade boxes that would probably work well enough in Coastal Products process. Jeff also explained that these suppliers were not serious contenders for the business. Their purpose was to create competition with the bids. Ben told Jeff to make sure that Southeastern was well aware that these new suppliers were bidding on the contract. He also said to make sure the suppliers knew that price was going to be the determining factor in this quote, because he considered corrugated boxes to be a standard industry item. Is Ben Gibson acting legally? Is he acting ethically? Why or why not?
Scenario 3 Ben Gibson, the purchasing manager at Coastal Products, was reviewing purchasing expenditures for packaging materials with Jeff Joyner. Ben was particularly disturbed about the amount spent on corrugated boxes purchased from Southeastern Corrugated. Ben said, I dont like the salesman from that company. He comes around here acting like he owns the place. He loves to tell us about his fancy car, house, and vacations. It seems to me he must be making too much money off of us! Jeff responded that he heard Southeastern Corrugated was going to ask for a price increase to cover the rising costs of raw material paper stock. Jeff further stated that Southeastern would probably ask for more than what was justified simply from rising paper stock costs. After the meeting, Ben decided he had heard enough. After all, he prided himself on being a results-oriented manager. There was no way he was going to allow that salesman to keep taking advantage of Coastal Products. Ben called Jeff and told him it was time to rebid the corrugated contract before Southeastern came in with a price increase request. Who did Jeff know that might be interested in the business? Jeff replied he had several companies in mind to include in the bidding process. These companies would surely come in at a lower price, partly because they used lower-grade boxes that would probably work well enough in Coastal Products process. Jeff also explained that these suppliers were not serious contenders for the business. Their purpose was to create competition with the bids. Ben told Jeff to make sure that Southeastern was well aware that these new suppliers were bidding on the contract. He also said to make sure the suppliers knew that price was going to be the determining factor in this quote, because he considered corrugated boxes to be a standard industry item. As the Marketing Manager for Southeastern Corrugated, what would you do upon receiving the request for quotation from Coastal Products?
3. A toy manufacturer makes stuffed kittens and puppies which have relatively lifelike motions. There are three different mechanisms that can be installed in these "pets." These toys will sell for the same price regardless of the mechanism installed, but each mechanism has its own variable cost and setup cost. Profit, therefore, is dependent upon the choice of mechanism and upon the level of demand. The manufacturer has in hand a forecast of demand that suggests a 0.2 probability of light demand, a 0.45 probability of moderate demand, and a probability of 0.35 of heavy demand. Payoffs for each mechanism-demand combination appear in the table below. Wind-up action Pneumatic action Electronic action Demand Light Moderate $250,000 $90,000 -$100,000 400,000 440,000 400,000 Heavy 650,000 740,000 780,000 Construct the appropriate decision tree to analyze this problem. Use standard symbols for the tree. Analyze the tree to select the optimal decision for the manufacturer.
forgiven product demand the time series trying equation is 53.3+2.1 X what is your forecast demand for period six?
A store has the following demand figures for the last four years: Year Demand 100 1 150 3 112 4 200 Given a demand forecast for year 2 of 100, a trend forecast for year 2 of 10, an alpha of 0.3, and a beta of 0.2, what is the demand forecast for year 3 using the exponential smoothing with trend method? 128 115 Ⓒ 135 Ⓒ 145
Demand at Nature Trails Ski Resort has a seasonal pattern.Demand is highest during the winter, as this is the peak ski season.However, there is some ski demand in the spring and even fallmonths. Th e summer months can also be busy as visitors oft encome for summer vacation to go hiking on the mountain trails.Th e owner of Nature Trails would like to make a forecast for eachseason of the next year. Total annual demand has been estimatedat 4000 visitors. Given the last two years of historical data, what isthe forecast for each season of the next year?
A method of estimating future demand usedfor decision making in order to set reasonable targets and control orlimit uncertainties or risks.
Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown in the following table: 1 2 67 8 9 9 10 10 11 Year Registrations (000) 3 4 5 46 4 5 10 8 7 What is the MAD? 2.54 9 12 14 15 a. Develop a 3-year moving average to forecast registrations from year 4 to year 12. What is the forecast? 13.67 b. Estimate demand again for years 4 to 12 with a 3-year weighted moving average in which registrations in the most recent year are given a weight of 2, and registrations in the other 2 years are each given a weight of 1. What is the forecast? [Select] What is the MAD? [Select] c. Use exponential smoothing with (a = .47), assume the initial period forecast is 5. What is the forecast for the next period? [Select] What is the MAD? [Select ] d. Based on Error Analysis, which of the forecasting methods seems better? [Select] >
Period Demand 1 2 3 4 5 64 ៩៩៨៖ 62 65 61 66 a. Compute a weighted average forecast using a weight of 0.4 for the most recent period, 0.3 for the next most recent, 0.2 for the next, and 0.1 for the next. (Round all your answers to two decimal points.) Forecast Period 5 Forecast Period 6 b. If the actual demand for period 6 is 65, forecast demand for period 7 using the same weights as in part a. Forecast Period 7
Assuming actual product demand were 1,500; 1540; 1,520; 1,550; and 1,560 for Weeks 1, 2, 3, 4, and 5, respectively. Using 2 as interval for moving averages forecasting, the computed sum of percentage error and MAPE should be: * a. 2.89% and 0.96% b. 1.60% and 15.00% c. 1.29% and 0.29% d. 0% and 0%
Month Demand Forecast Error Abs Error alpha 1 20 2 18 3 21 4 25 5 24 6 27 7 22 8 30 9 23 10 20 11 29 12 22 Mean Bias MAD (mean error) Problem 6: Maverick Jeans' demand manager decided to evaluate exponential smoothing. To maintain com- parability, she used the data from problem 6, copied below. 1 Month 2 3 Demand 20 18 21 25 4 5 24 6 7 8 9 10 11 12 27 22 30 23 20 29 22 Develop forecasts for months 5-12. Calculate the Bias and MAD. Use a starting forecast of 20 for month 4 and an alpha value of 0.2. (Note: Adjust all cell values to two decimal points.)
Problem 4- do both a three period moving average and an exponential smoothing forecast with an alpha of .2. Calculate the MAD and MPE for each. Months Actuals 1 400 2. 350 3 325 4. 300 300 6. 285 7. 290