In the past, Peter Kelle's tire dealership in Baton Rouge sold an average of 1,000 radials each year. In the past 2 years, 200 and 260, respectively were sold in fall, 340 and 300 in winter, 150 and 175 in spring, and 300 and 275 in summer. With a major expansion planned, kelle projects sales next year to increase to 1,200 radials. Based on next year's projected sales, the demand for each season is going to be (enter your responses as whole numbers): Season Fall Demand
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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?4. In the past, Peter Kelle's tire dealership in Baton Rouge sold an average of 1,100 radials each year. In the past 2 years, 220 and 250, respectively were sold in fall, 360 and 300 in winter, 150 and 160 in spring, and 320 and 440 in summer. With a major expansion planned, Kelle projects sales next year to increase to 1,300 radials. Part 2 Based on next year's projected sales, the demand for each season is going to be (enter your responses as whole numbers): Season Demand Fall __________On August, a light business bought $3600 worth of lamps. At the beginning of September, the store had $1400 in lights on hand, and by the end of September, it projected to have $1600 in lamps on hand to meet some of the forecasted October sales. And what's the August planned cost of goods sold?
- 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 decemberDemand 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…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 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…
- Table 1. Demand of Hairdryer from January to July [Jadual 1. Permintaan Pengering Rambut dari Januari 2021 hingga Julai 2021] Month Demand January February 2800 2870 March 2968 April Мay 3000 3100 Jun 3150 July 3400 a) Calculate forecast future demand for May, June, July and August by using 3 months simple moving average.[hitung ramalan permintaan masa depan untuk bulan Mei, Jun, Julai dan Ogos dengan menggunakan purata bergerak sederhana 3 bulan.] *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 4,120 February 4,220 March 3,920 April 4,320 May 4,920 June 4,620 July 5,220 August 4,820 September 5,320 October 5,620 November 6,220 December 5,920 a. Using linear regression analysis, what would you estimate demand to be for each month next year? (Do not round intermediate calculations. Round your answers to 2 decimal places.) b. To be reasonably confident of meeting demand, Nina decides to use 3 standard errors of estimate for safety. How many additional units should be held to meet this level of confidence? (Do not round intermediate calculations. Round…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 5,900
- Demand for stereo headphones and music 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 this year was as follows: MONTH DEMAND (UNITS) January 4,150 February 4,250 March 3,950 April 4,350 May 4,950 June 4,650 July 5,250 August 4,850 September 5,350 October 5,650 November 6,250 December 5,950 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 3.8. (Do not round intermediate calculations. Round your answers to 2 decimal places.) b. To be reasonably confident of meeting demand, Nina decides to use 3 standard errors of estimate for safety. How many additional units should be held to meet this…The Ashton Furniture Company manufactures coffee tablesand chest of drawers. Last year the company’s cost ofgoods sold was $3,700,000, and it carried inventory of oak,pine, stains, joiners, and brass fixtures, work-in-process offurniture frames, drawers and wood panels, and finishedchests and coffee tables. Its average inventory levels for a52-week business year were as follows. Determine the number of inventory turns and the days ofsupply for the furniture company. Raw Materials Average Inventory Unit CostOak 8000 $6.00Pine 4500 4.00Brass fixtures 1200 8.00Stains 3000 2.00Joiners 900 1.00Work-in-ProcessFrames 200 $30Drawers 400 10Panels 600 50Chests 120 110Tables 90 90Finished GoodsChests 300 $500Coffee tables 200 350Zeus Computer Chips, Inc., used to have major contracts to produce the Centrino-type chips. The market has been declining during the past three years because of the dual-core chips, which it cannot produce, so Zeus has the unpleasant task of forecasting next year. The task is unpleasant because the firm has not been able to find replacement chips for its production lines. Here is demand over the past 12 quarters: TWO YEARS AGO UNITS 4,815 3.515 4,315 3,015 I || III IV || III IV Period I LAST YEAR I III IV UNITS Forecast (Units) 3,510 2,715 3,515 2,415 THIS YEAR I || III IV Use the decomposition technique to forecast demand for the next four quarters. (Do not round intermediate calculations. Round your answers to 2 decimal places.) UNITS 3,215 2,116 2,695 1,695