uction Lot (Batch) Size Forecast Customer Orders Projected OH MPS ATP O 20 O zero 0 1 0-7 07 2 O None of the above are correct 32 21 AOH =75 32 What is the available to promise for week 3? 3 20 25 25 25 8 4 4 5 40 80 6 40 80 7 40 8 40
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- 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.] *Calculate customer life time value for the data below. (Show Work) Purchase Occasion Transition Probability Average Basket Size 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 ΝΑ 55% 75% 78% 83% 81% 81% 86% 82% 85% 90% 93% 85% 89% 85% 91% 97% 97% 96% 85% 83% 89% 82% 79% 82% 89% 88% 86% 67% 75% $46.71 $56.71 $57.93 $56.87 $58.26 $66.90 $63.62 $70.27 $63.03 $62.60 $71.81 $76.76 $78.14 $65.65 $74.84 $81.11 $72.08 $87.30 $71.94 $75.44 $70.35 $72.86 $66.68 $79.90 $93.91 $61.08 $94.16 $100.40 $77.89 $99.70Month# Jan Feb Mar Apr May June Forecast# 1800 1500 1100 1500 2100 1600 Name Labor hours per unit (hr/unit) Initial number of workers Safety Stock (units) Working hours in a day(hr/day) Beginning inventory(units) Value 5 30 0 9 450 Month# Jan Feb Mar Apr May June Working Days available 21 21 21 21 21 19 The tables present forecasts, production, and cost information for aggregate planning. Using a level strategy with backorders to produce at average demand, now many workers are required each month? (Round up the calculated number of workers to the nearest whole number, and round the production rate to the nearest whole number
- Problem 2: Week Forecast Customer Orders Projected On-Hand Inventory MPS Available-to-Promise On-hand Inventory schedule production whenever projected on-hand inventory drops below MPS lot size Complete the master production schedule based on the following information 160 160 30 300 1 120 110 2 100 100 3 130 75 4 110 50 5 140 32 6 140 11 7 170 5 8 180 0In past 4 weeks, AOC (Arab oil company) started producing and distributing national engine oil to substitute French Total and Esso brands. Production reported to be in thousands: 2, 4, 3, 5 TG Thousand Gallons). AOC production will be calculated after 5 more weeks.21. Given the forecast and booked orders shown in the table below, and a beginning inventory of 45, what is the master production schedule quantity for period 4 if you want to end period 4 with 0 inventory? Period 1 2 3 4 Forecasted Demand 70 65 60 55 Booked Orders 80 60 30 50 Projected ending inventory Master production schedule 70 60 65 Available to Promise 0 Group of answer choices 35 30 20 25
- If sale is 78 during March, 85 in April, 90 in May, 84 in June, and 97 in July, what, is the three-month simple moving average for August? a. 88.667 Ob. 90.333 O c. 97 O d. 86.8Q1: Pat Jones is the general manager at Denny’s Muffler, which has 3 locations and 27 employees. Currently, the office manager at 3 stores put input their weekly sales results into a spreadsheet and e-mail that spreadsheet to Pat on Friday by noon. Each week, Pat handles between 120 to 350 records of sales data, and another 100 to 300 records of customer data. Pat would be like to keep track of weekly sales, which customers are associated with each sale, the parts used for each sale, what work was done for each customer at each sale, and which parts were used for each sale. If Pat wants to improve his efficiency and effectiveness, which of the following applications would be the best for collecting and storing Pat’s data? 1) Excel 2) SAP3) Access4) Minitab5) Teams6) MySQLWhich are some of the things that drive variability in demand management and forecasting? 1. MOQs 2. Promotional sales on products 3. Supplier contracting 4. Order fulfillment 5. Network planning 6. None of the above Please give me answer ASAP with clear explanation.
- 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.3. The MPS planner at Murphy Motors uses MPS time-phased records for planning end-item pro- duction. The planner is currently working on a schedule for the P24, one of Murphy's top-selling motors. The planner uses a production lot size of 70 and a safety stock of 5 for the P24 motor. Item: P24 Forecast Orders On hand Week 12345678 30 30 30 40 40 40 45 45 13 8 4 Projected available balance Available-to-promise MPS 20 a. Complete the MPS time-phased record for product P24. b. Can Murphy accept the following orders? Update the MPS time-phased record for accepted orders. Order 1234 4 Amount 40 30 30 25 Desired Week 4 6 2 3Q4) 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