The table above provides the aggregate plan of production by a firm. It is known that the firm uses a level plan with backorders. Given this information, what is the number in the cell with the question mark?
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The table above provides the aggregate plan of production by a firm. It is known that the firm uses a level plan with backorders. Given this information, what is the number in the cell with the question mark?
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- Part C Exponential Exponential Gasoline Demand Gasoline Month smoothed forecast smoothed forecast Exponential smoothed forecast (a = 0.25) Demand (a = 0.25) (a = 0.45) Exponential smoothed forecast (a = 0.45) Mar 900 920 920 1200 Apr May 755 915.00 911.00 1100 1000 650 875.00 840.80 g20 915.00 846 80 755 818.75 754.94 904.76 835.12 Jun 550 818.75 754.94 800 320 751.56 66272 645.74 746.83 Jul 625 751.56 662.72 650 600 550 Aug Sep 730 719.92 645.74 820 722.44 683.66 400 D Oct 1100 746.83 745.01 200 1 Nov 835.12 904.76 Mar Apr May Jun Jul Aug Sep Oct Nov 1. Make a comparative analysis out of your answers in the plotted data. (3-5 5 sentences)Q.No.04. What does BOM stands for? Why it is necessary for any firm to have correct forecast of BOM?QUESTIONS: Quarterly demand for a washing machine is as shown. 1. After obtaining initial estimates for level, trend, and seasonal factors. forecast the demand for the first quarter of year III using Winter's model with a 6- - 0,25 where x is the last two digits of your student number. 2. Make a tracking signal analysis for the forecast and evaluate Maks Year I II Quarter 1 2 3 4 1 2 3 4 Demand 1900 1224 4000 5600 4800 1048 6200 8000
- Month 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.)Forecast is calculating estimates of future cycle/s based on data of past cycles -- there is no?Part B Three-period Four-period Units Units Demanded Period weighted moving weighted moving Demanded Three-period weighted moving average forecast average forecast average forecast Four-period weighted moving average forecast 24 2 25 60 28 50 49 S50 4 32 26.33 46 4.90 39,80 40 41 5 35 29.50 28.6 38 35 38 32.83 31.7 30 32 28 25 26,93 250 es 7 41 36.00 34.9 24 20 8 46 39.00 38 49 43.00 41.8 10 10 53 46.67 45.4 50.50 49.2 1 2 3 4 5 6 7 8 9 10 11 1. Make a comparative analysis out of your answers in the plotted data. (3-5 sentences)
- Question 3: Jane is trying to forecast demand for her store, using moving average with n=2, Fill in the missing cells with correct values and find average error for first quarter and second quarter of year 2000 E Enroll- Year Quarter ment Forecast Error Abs Error 1997 313 3. 2 285 4 3 312 5. 4 339 6. 1998 1 359 7 320 356 385 6. 10 1999 396 367 11 397 12 423 13 14 2000 1 15 2000 3412M4Question 1 ) The monthiy sales Of yamizí Battery company are asfollows:- Month Jales 2000 2100 1500 1400 1300 Calcuiate fore cost sales for June using each of the fo llowing method: - i) Naive Method 1M 3 Month Simple moving averoger Ti) Exponentral smoothing using an a =0:3 cand may forecast of 1600 units.Al Maha Plastic manufacturing Companies last Six weekly values of Sales were 90, 110, 115, 135, 140, 150 and 160 units. Forecasts (same for all the six weeks) were 110 units for all the weeks. Calculate MAD, and Tracking Signal for these six weeks. Wee k Actual Sales Forecaste d Sale Error Cumulative Error Absolute Error Cumulative Absolute Error MAD Tracking Signal 1 2 3 4 5 6 7
- P2. Over past 4 weeks, KAMM (Kuwait Arab Malls Monitor) reported a severe decline in French products consumption -- in Millions of items: 400M, 300M, 50M, 1M. KAMM need to know expected forecast next week.New Accounts New Accounts Period 200 232 11 214 248 12 211 250 13 228 253 14 5 235 10 267 15 Using linear regression, what is your forecast for period 16? Less than 300 Between 301 and 308 Between 309 and 350 Period 1 2 3 4 O Higher than 350 Period 6 7 8 9 New Accounts 281 275 280 288 310Given November actual demand of 61, November forecast of 58, and an alpha of 0.4, November trend value +1.03, Beta of 0.3 what would the forecast including trend (FIT) for the December period be using exponential smoothing model 2? Select one: a. 62.03 b. cannot be found c. 68.76 d. 65.72