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?
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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
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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 __________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.] *
- I'm trying to determine optimal order quantity but only have a Mean forecast and a standard deviation of it to use for sales data. How would I determine the sales data to use in the optimal order quantity formula?Year Sales 1) 123 2)118 3) 109 4) 112 5) 100 6) 110 7) 124 8)Determine the demand in Year 8 using a 3-month moving average using the sales table. Use weights of 0.40, 0.30 and 0.30Demand 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…
- March demand was pridicted at 590 units of gear cycles of trevaa ltd. But the actual demand was 400 units only so fourth the company now want to forecast the april demand using exponential smoothing model with constant alpha of 0.72., calculate the sameMonth 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.)What is the distinction between simulated and anticipated average demand:
- Zeus 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: LAST THIS YEAR TWO YEARS AGO UNITS YEAR UNITS UNITS 4,785 3,495 2,696 3,475 3,210 2,078 2,705 1,695 I I I II 3,475 4,195 II II III III III IV 2,995 IV 2,375 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.) Period Forecast (Units I II III IVHistorical demand for a product is: DEMAND January 13 February 10 March 14 April 13 May 15 June 14 a. Using a weighted moving average with weights of 0.40 (June), 0.20 (May), and 0.40 (April), find the July forecast. (Round your answer to 1 decimal place.) b. Using a simple three-month moving average, find the July forecast. (Round your answer to 1 decimal place.) c. Using single exponential smoothing with α = 0.20 and a June forecast = 12, find the July forecast. (Round your answer to 1 decimal place.) d. Using simple linear regression analysis, calculate the regression equation for the preceding demand data. (Do not round intermediate calculations. Round your intercept value to 1 decimal place and slope value to 2 decimal places.) e. Using the regression equation in d, calculate the forecast for July. (Do not round intermediate calculations. Round your answer to 1 decimal place.)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: 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 2 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 your answer to the nearest whole number.)