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- 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, 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 4,240 February 4,340 March 4,040 April 4,440 May 5,040 June 4,740 July 5,340 August 4,940 September 5,440 October 5,740 November 6,335 December 6,030 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 4 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…Q4) A manufacturer provides specialized microchips. During the next 3 months its sales, costs, and available time are shown in the table. Month 1 Month 2 Month 3 There are no chips in stock at the beginning of the first month. It takes 1.5 hr of production time to produce a chip and costs $5 to store a chip from one month to the next. Determine a production schedule that meets the demand requirements, does not exceed the monthly production time limitations, and minimizes cost. Note that no chips should be in stock at the end of the 3 months. Use fmincon. Chips required Cost regular time ($/chip) Cost overtime ($/chip) Regular operation time (hr) Overtime (hr) 1000 100 110 2500 100 120 2200 120 130 2400 2400 720 2400 720 720
- Demand for portable music players for joggers has caused Nancy Industries (Nancy) to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nancy expects demand for music player to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demands for the players for last year was as follows : Month Demand (units) Jan 4200 Feb 4300 Mar 4000 Apr 4400 May 5000 Jun 4700 Jul 5300 Aug 4900 Sep 5400 Oct 5700 Nov 6300 Dec 6000 Question : From the choice of simple moving average, weighted moving average, exponential smoothing, and linear regression analysis, which forecasting technique would you consider the most accurate to Nancy Industries? Why?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…Product A Order Qty = 400 Order Lead Time = 2 Forecast Demand Scheduled Receipts Projected Available Inventory 400 Planned Order Receipts Planned Order Releases 1 300 OD 4, 6, 2 300 400 Sketch and fill in the grid on scrap paper to use on upcoming questions In what periods would you incur a planned order release? OA 1.3, and 4 2.4, and 5 OC 3,5, and 6 and 7 3 300 PERIODS 4 300 5 300 6 300 7 100 8 100
- 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…Ex2: Find the expected demand for 2020. a = 0.6 (picture)
- c. Compute and tabulate the daily demand for each month in the table below (round off to the nearest whole number). MONTH PRODUCTION DAYS DEMAND FORECAST DEMAND PER DAY JAN 2022 16 150 ? FEB 2022 16 150 ? MAR 2022 23 250 ? APR 2022 21 250 ? MAY 2022 22 400 ? JUN 2022 22 500 ? JUL 2022 21 600 ? AUG 2022 20 750 ? SEP 2022 20 450 ? OCT 2022 20 250 ? NOV 2022 16 150 ? DEC 2022 16 150 ? TOTAL ? ? d. Assuming that MPQ Limited had adopted a level strategy for the year ended 31 December 2022, compute the average daily demand for the year (round off to the nearest whole number). e. Prepare a graph showing the monthly forecasts and average daily forecast (in units per day) for MPQ Limited.Franklin Tooling, Inc., manufactures specialty tooling for firms in the paper-making industry. All of their products are engineer-to-order and so the company never knows exactly what components to purchase for a tool until a customer places an order. However, the company believes that weekly demand for a few components is fairly stable. Component 135.AG is one such item. The last 26 weeks of historical use of component 135.AG is recorded below. Week Demand Week Demand 1 2 3 4 5 6 7 8 9 10 11 12 13 137 136 143 136 141 128 149 136 134 142 125 134 118 14 15 16 17 18 19 20 21 22 23 24 25 26 131 132 124 121 127 118 120 115 106 120 113 121 119 Use OM Explorer’s Time Series Forecasting Solver to evaluate the following forecasting methods. Start error measurement in the fifth week, so all methods are evaluated over the same time interval. Use the default settings for initial forecasts.i. Naïve (1-Period Moving Average)ii. 3-Period Moving Averageiii. Exponential Smoothing,…|Product D is stocked only at the AMC Chemical Company's Dallas warehouse and at the company's plant warehouse in Akron. The sales director has forecast product sales from the Dallas warehouse to be 40 units per week for the next 8 weeks. Product D is manufactured at the firm's Akron plant using 2 units of ingredient X per unit of product D. Information: Ingredient X Projected available balance: 4 Units Schedule receipt in week 1: 320 units Safety stock quantity: 2 Product D in Dallas Product D in Plant Warehouse Warehouse Projected available balance: 85 Units Safety stock quantity: 5 units Lead time: 2 weeks Lot for lot size quantity Projected available balance: 2 Units Schedule receipt in week 1: 46 units Safety stock quantity: 8 units units Lead time: 1 week Lead time: 4 weeks Lot for lot size quantity Lot size quantity: 320 units Prepare the DRP records for product D at the Dallas warehouse and the plant warehouse as well as the MRP record for ingredient X (Assume ingredient X is…