Classroom Example. Forecast for period # 8 using the five methods as shown in the tables below.
Find MAD and MAPE for each method. Which method is giving you the best forecast? Why?
Three period Simple | Exponential Smoothing | Naïve | Method | |||||||
Moving Average | Method Alpha = 0.3 | Forecast=Average Sales | ||||||||
Sales | Forecast Error | %Error | Forecast Error | %Error | Forecast Error | %Error | ||||
Period | Y | Y cap | Y –Y cap | APE | Y cap | Y –Y cap | APE | Y cap | Y –Y cap | APE |
1 | 10 | —– | 13 | -3.00 | 30.00 | |||||
2 | 14 | 10 | 4 | 28.571% | 13 | 1.00 | 7.14 | |||
3 | 12 | .8 | 6.667% | 13 | -1.00 | 8.33 | ||||
4 | 11 | 12 | -1 | 9.091% | -.44 | 4% | 13 | -2.00 | 18.18 | |
5 | 15 | 12.333 | 2.667 | 17.778% | 3.692 | 24.613% | 13 | 2.00 | 13.33 | |
6 | 13 | 12.667 | .333 | 2.564% | .584 | 4.495% | 13 | 0.00 | 0.00 | |
7 | 16 | 13 | 3 | 18.75% | 3.409 | 21.307% | 13 | 3.00 | 18.75 | |
Results | === | 14.667 | 1.75 | 12.046 | 13.61 | 2.154 | 14.942 | 13 | 1.71 | 13.68 |
Forecast | MAD | MAPE | Forecast | MAD | MAPE | Forecast | MAD | MAPE |
Trend Analysis | Naïve | Method | |||||
Forecast=Last pd Actual | |||||||
Sales | Forecast Error | %Error | Forecast Error | %Error | |||
Period | Y | Y cap | Y –Y cap | APE | Y cap | Y –Y cap | APE |
1 | 10 | 10.964 | -.964 | 9.643% | |||
2 | 14 | 11.643 | 2.357 | 16.837% | 10 | 4 | 28.571% |
3 | 12 | 12.321 | -.321 | 2.679% | 14 | -2 | 16.667% |
4 | 11 | 13 | -2 | 18.182% | 12 | -1 | 9.091% |
5 | 15 | 13.679 | 1.321 | 8.81% | 11 | 4 | 26.667% |
6 | 13 | 14.357 | -1.357 | 10.44% | 15 | -2 | 15.385% |
7 | 16 | 15.036 | .964 | 6.027% | 13 | 3 | 18.75% |
Results | === | 15.714 | 1.327 | 10.374 | 16 | 2.667 | 19.188% |
Forecast | MAD | MAPE | Forecast | MAD | 19.188% |