2GMTN Zambiall78%3:30 PM< OperationsManagement_HW1..4.12 Consider the following actual and forecast demand lev-els for Big Mac hamburgers at a local McDonald's restaurant:DayActual DemandForecast DemandMondayTuesdayWednesdayThursdayFriday8888728868844880The forecast for Monday was derived by observing Monday'sdemand level and setting Monday's forecast level equal to thisdemand level. Subsequent forecasts were derived by using exponen-tial smoothing with a smoothing constant of 0.25. Using this expo-nential smoothing method, what is the forecast for Big Mac demandfor Friday? PxDownload-(1.009 9KB)Comments (0)SendMore

Given Data, Day Actual demand Forecast Demand Monday 88 88 Tuesday 72 88…

Answered: 2G MTN Zambia ll 78% 3:30 PM <…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter9: Decision Making Under Uncertainty

Section: Chapter Questions

Problem 46P

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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?
4, The accompanying dataset provides the closing prices for four stocks and the stock exchange over 12 days. Complete parts a through c. Complete the exponential smoothing forecast model for stock B. (Type integers or decimals rounded to two decimal places as needed.) Date Forecast B 09/03/2010 09/07/2010 enter your response here 09/08/2010 enter your response here 09/09/2010 enter your response here 09/10/2010 enter your response here 09/13/2010 enter your response here 09/14/2010 enter your response here 09/15/2010 enter your response here 09/16/2010 enter your response here 09/17/2010 enter your response here 09/20/2010 enter your response here 09/21/2010 enter your response here Date A B C D Stock Exchange 09/03/2010 127.07 18.54 20.84 15.44 10,536.56 09/07/2010 124.84 18.21 20.45 15.55 10,245.77 09/08/2010 125.67 17.77 20.83 15.72…
15) Which is not considered to be an OPSCM execution process byany of the most popular models?Select one:A. returnsB. manufacturing/production/makeC. logisticsD. procurement/acquisition/purchasingE. research & development16) Purchasing’s role is to get the lowest possible price oneverything needed by OPSCM.Select one:A. TrueB. False17) Which OPSCM macro designs / operations models /manufacturing environments use a forecast to plan for fulfillmentof demand?Select one:A. MTO & ETOB. MTO & MTSC. CTO & MTSD. ETO & MTSE. All of them use forecasts.
a. What is your forecast for December of Year 4, making period 1 as the starting period for the regression? b. The actual demand for period 48 was just learned to be 5,100. Add this demand to the Inputs file and change the starting period for the regression to period 2 so that the number of periods in the regression remains unchanged. How much or little does the forecast for period 49 change from the one for period 48? The error measures? Are you surprised?c. Now change the time when the regression starts to period 25 and repeat the process. What differences do you note now? What forecast will you make for period 49?
Sara manages one of the Albireds shoe lines, and is working to improve the group's forecasting capabilities so that production will more closely match actual demand (that's the goal, at least!). Work our the exponential smoothing with a smoothing constant equal to 0.2, (seed the model with a January forecast = 16,000). A weighted moving average using 0.6(t-1), 0.3(t-2) and 0.1(t-3)
1. Using MAD as the criterion, which of the following models would you use for thegiven time series data? Why?A. Naïve approach;B. 5-month SMA model;C. WMA model with weights 0.1, 0.3, and 0.6; orD. ES model with α = 0.5 and a forecast of 3,500 liters in the first month.NOTE: In answering Item 1, mention the whole description of the model; i.e., not just“SMA model”, but “SMA model with n = ...”; not just “WMA model”, but “WMA modelwith weights ...”; not just “ES model”, but “ES model with α = ...”.
Product A is an assemble-to-order product. It has a lot size of 150, and currentlyhas an on-hand inventory of 110 units. There is a 2-week demand time fence and a12-week planning time fence. The following table gives the original forecast and theactual customer orders for the next 12 weeks:Week 1 2 3 4 5 6 7 8 9 10 11 12Forecast 80 80 80 70 70 70 70 70 70 70 70 70Demand 83 78 65 61 49 51 34 17 11 7 0 0a. Given this information, develop a realistic master schedule, complete with ATPlogic.b. Tell how you would respond to each of the following customer order requests.Assume these are independent requests, and do not have cumulative effects.■ 20 units in week 3■ 40 units in week 5■ 120 units in week 7
Given the following forecast and cost information, determine Production Coststhe total cost of a chase plan that uses regular time production Regular $ 50.00output of 400 units per month, overtime is used when needed Overtime $ 65.00up to a maximum of 40 units per month, and subcontracting Subcontracting $ 75.00is used if additional units are needed to meet the forecast.Month Forecast1 4302 4003 4404 4505 4806 480Total
Corporate triple-A bond interest rates for 12 consecutive months follow. 9.6 9.4 9.5 9.7 9.9 9.8 9.8 10.6 10.0 9.8 9.6 9.6 (b) Develop three-month and four-month moving averages for this time series. (Round your answers to two decimal places.) Month Time SeriesValue 3-Month MovingAverage Forecast 4-Month MovingAverage Forecast 1 9.6 2 9.4 3 9.5 4 9.7 5 9.9 6 9.8 7 9.8 8 10.6 9 10.0 10 9.8 11 9.6 12 9.6 (c) Using the more accurate forecast, what is the moving average forecast for the next month? (Round your answer to two decimal places.)
This a 4 part question that am confused about. Please show the work by hand not excel. 4-1 Sales of a particular product (in the thousands of dollars) for the years 2015 through 2018 have been $48,000, $64,000, $67,000 and $83,000 respectively. (a)What sales would you predict for 2019, using simple four-year moving avaerage? (b) What sales would you predict for 2019, using a weighted moving average with weights of 0.50 for the immediate preceding year and 0.3, 0.15, and 0.05 for the three years before that? (I am able to calculate and know the answer for (a) $65,000 and (b) $73,000. What I don't understand is the following : 4-2 Using exponential smoothing with a weight of 0.6 on actual values: (a) If sales are $45,000 and $50,000 for 2017 and 2018, what would you forecast for 2019 ? (The first forecast is equal to the value of the preceding year.) (b) Given this forecast and actual 2019 sales of $53,000, what would you then forecast for 2020? 4-3 In Problem 4-1, taking…
There is an ongoing debate about the roles of quantitative and qualitative inputs in demand estimation and forecasting. Those in the qualitative camp argue that statistical analysis can only go so far. Demand estimates can be further improved by incorporating purely qualitative factors. Quantitative advocates insist that qualitative, intuitive, holistic approaches only serve to introduce errors, biases, and extraneous factors into the estimation task. Suppose the executive for the theater chain is convinced that any number of bits of qualitative information (the identity of the director, the film’s terrific script and rock-music sound track, the Hollywood “buzz” about the film during production, even the easing of his ulcer) influence the film’s ultimate box-office revenue. How might one test which approach—purely qualitative or statistical, provides better demand or revenue estimates? Are there ways to combine the two approaches? Provide concrete suggestions

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