Analyze the impact of demand variability on the effectiveness of the Wilson approach and propose strategies to mitigate this variability.
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Analyze the impact of demand variability on the effectiveness of the Wilson approach and propose strategies to mitigate this variability.
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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. As the Marketing Manager for Southeastern Corrugated, what would you do upon receiving the request for quotation from Coastal Products?Discuss the concept of demand variability and how it impacts the effectiveness of the Wilson approach. What strategies can be employed to mitigate the effects of demand variability in this approach?Explore the impact of demand variability on the effectiveness of the Wilson approach.
- How does demand variability affect the effectiveness of the Wilson approach? Provide examples.Demand history for the past three years is shown below, along with the seasonal indices for each quarter. Seasonal Index Year Year 1 Year 2 Year 3 Quarter Q1 02 03 04 Q1 02 Q3 04 01 Q2 Q3 04 Demand 225 253 392 310 229 242 391 360 220 256 400 288 0.756 0.845 1.327 1.075 0.756 0.845 1.327 1.075 0.756 0.845 1.327 1.075 Do not round intermediate calculations. Round your answer to the nearest whole number. Use exponential smoothing with alpha (a) = 0.2 and an initial forecast of 297 along with seasonality to calculate the Year 4, Q1 forecast.Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows: MONTH DEMAND (UNITS) January 4,000 February 4,100 March 3,800 April 4,200 May 4,850 June 4,500 July 5,150 August 4,750 September 5,250 October 5,550 November 6,150 December 5,850 a. Using linear regression analysis, what would you estimate demand to be for each month next year? Using a spreadsheet, follow the general format in Exhibit 3.7. (picture below)(Do not round intermediate calculations. Round your answers to 2 decimal places.) Month Forecast january february march april may june july august september october november december
- In two companies (AerCo, NuCo), the demand was managed centrally using information gathered from decentralised units and remotely from the assets in the field. Demand management at AerCo is performed by a quarterly review of the orders for new assets and the forecast of demand for aftermarket parts. This review is performed centrally to the business although information is gathered from around the business, including overseas bases and real-time data that have been analysed for issues that will have an impact upon the demand placed upon the supply chain. This is due to AerCo operating in a make-to-order (MTO) environment for production parts—with a 3–5 years lead-time for customers—and a make-to-stock (MTS) environment for aftermarket—where the requirement for a replacement part or system may be instantaneous if the aircraft has suffered unexpected damage. This quarterly review of demand is then placed upon the supply chain through an explicit process that ensures that orders can be…Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows: MONTH DEMAND (UNITS) January 4,000 February 4,100 March 3,800 April 4,200 May 4,850 June 4,500 July 5,150 August 4,750 September 5,250 October 5,550 November 6,150 December 5,850 a. Using linear regression analysis, what would you estimate demand to be for each month next year? Using a spreadsheet, follow the general format in Exhibit 3.7. (picture below)(Do not round intermediate calculations. Round your answers to 2 decimal places.) Month Forecast january february march april may june july august september october november december b. To…Effective Demand Management in a NATURAL RESOURCES/MINING COMPANY
- What role does collaborative forecasting play in a supply chain of a build to order manufacturer such as dell also state the implications in terms of bullwhip effect?Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows: MONTH DEMAND (UNITS) January February 4,100 4,200 March 3,900 April 4,300 May 4,900 June 4,600 July 5,200 August 4,800 September 5,300 October 5,600 November 6,200 December 5,900Demand for stereo headphones and MP3 players for joggers has caused Nina Industries to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for last year was as follows: MONTH DEMAND (UNITS) January 4,220 February 4,320 March 4,020 April 4,420 May 5,020 June 4,720 July 5,320 August 4,920 September 5,420 October 5,720 November 6,320 December 6,020 Using linear regression analysis, what would you estimate demand to be for each month next year? (Round two decimal places) To be reasonably confident of meeting demand, Nina decides to use 3 standard errors of estimate for safety. How many additional units…