1 N 0 P Q H Year 6 L T S F 0.427 0.475 0.463 0.398 A 1 Month 2 JAN 3 FEB 3 4 MAR 5 APR 6 MAY 7 JUN 8 JUL 9 AUG 10 SEP 11 OCT 12 NOV 13 DEC B D E F G Year 1 Year 2 Year 3 Year 4 Year 4 Year 5 2000 3000 2000 5000 5000 3000 4000 5000 4000 2000 3000 3000 5000 4000 3000 3000 5000 3000 2000 2000 4000 5000 4000 5000 7000 6000 8000 6000 7000 6000 7000 3000 7000 10000 8000 6000 8000 10000 14000 10000 10000 12000 15000 16000 20000 12000 12000 15000 16000 20000 14000 16000 18000 20000 22000 8000 10000 8000 12000 8000 0.621 0.834 0.853 1.151 1.733 1.778 2.124 1.095 14 15 16 Forecast the monthly demand for Year 6 (Y6) using Winter's Model, given 17 a = 0.1, B = 0.2, y = 0.1. Evalute the MAD, MSE, MAPE. 18 Run a liner regression to compute the level and trend componenets. 19 Seasonal Facator for next year given in P2-P13 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 J K L M Period Demand Period Demand 1 2000 31 7000 2 3000 32 10000 3 3000 33 15000 4 3000 34 15000 5 4000 35 18000 6 6000 36 8000 7 7000 37 5000 8 6000 38 4000 9 10000 39 4000 10 12000 40 2000 11 14000 41 5000 12 8000 42 7000 13 3000 43 10000 14 4000 44 14000 15 3000 45 16000 16 5000 46 16000 17 5000 47 20000 18 8000 48 12000 19 3000 49 5000 20 8000 50 2000 21 12000 51 3000 22 12000 52 2000 23 16000 53 7000 24 10000 54 6000 25 2000 55 8000 26 5000 56 10000 27 5000 57 20000 28 3000 58 20000 29 4000 59 22000 60 61 63 64 65 aa 8 8 8 0 66 67 68 69 70 71 72 1 N 0 P Q H Year 6 L T S F 0.427 0.475 0.463 0.398 A 1 Month 2 JAN 3 FEB 3 4 MAR 5 APR 6 MAY 7 JUN 8 JUL 9 AUG 10 SEP 11 OCT 12 NOV 13 DEC B D E F G Year 1 Year 2 Year 3 Year 4 Year 4 Year 5 2000 3000 2000 5000 5000 3000 4000 5000 4000 2000 3000 3000 5000 4000 3000 3000 5000 3000 2000 2000 4000 5000 4000 5000 7000 6000 8000 6000 7000 6000 7000 3000 7000 10000 8000 6000 8000 10000 14000 10000 10000 12000 15000 16000 20000 12000 12000 15000 16000 20000 14000 16000 18000 20000 22000 8000 10000 8000 12000 8000 0.621 0.834 0.853 1.151 1.733 1.778 2.124 1.095 14 15 16 Forecast the monthly demand for Year 6 (Y6) using Winter's Model, given 17 a = 0.1, B = 0.2, y = 0.1. Evalute the MAD, MSE, MAPE. 18 Run a liner regression to compute the level and trend componenets. 19 Seasonal Facator for next year given in P2-P13 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 J K L M Period Demand Period Demand 1 2000 31 7000 2 3000 32 10000 3 3000 33 15000 4 3000 34 15000 5 4000 35 18000 6 6000 36 8000 7 7000 37 5000 8 6000 38 4000 9 10000 39 4000 10 12000 40 2000 11 14000 41 5000 12 8000 42 7000 13 3000 43 10000 14 4000 44 14000 15 3000 45 16000 16 5000 46 16000 17 5000 47 20000 18 8000 48 12000 19 3000 49 5000 20 8000 50 2000 21 12000 51 3000 22 12000 52 2000 23 16000 53 7000 24 10000 54 6000 25 2000 55 8000 26 5000 56 10000 27 5000 57 20000 28 3000 58 20000 29 4000 59 22000 60 61 63 64 65 aa 8 8 8 0 66 67 68 69 70 71 72