The table below shows the actual demand and the forecasted amounts (where available). Use this table to answer questions.
Actual |
Forecast |
|
1 |
100 |
- |
2 |
95 |
- |
3 |
102 |
- |
4 |
100 |
105 |
5 |
110 |
111 |
6 |
120 |
115 |
7 |
112 |
115 |
8 |
130 |
125 |
9 |
130 |
128 |
Forecast Method |
MAD |
MAPD |
MSE |
Moving Average |
23.2 |
5.00% |
600 |
Weighted Moving Average |
24.9 |
6.80% |
620 |
Exponential Smoothing, alpha= 0.3 |
28.1 |
10.20% |
614 |
Exponential Smoothing, alpha = 0.25 |
32.6 |
12.80% |
680 |
period | demand | forcast | forecast error=demand value-forecast value | absolute forecast error | squared forcast error | |
t | Dt | Ft | et=Dt-Ft | | et | | (et)² | |
1 | 100 | |||||
2 | 95 | |||||
3 | 102 | |||||
4 | 100 | 105.00 | -5.00 | 5.00 | 25.00 | |
4 | 110 | 111.00 | -1.00 | 1.00 | 1.00 | |
6 | 120 | 115.00 | 5.00 | 5.00 | 25.00 | |
7 | 112 | 115.00 | -3.00 | 3.00 | 9.00 | |
8 | 130 | 125.00 | 5.00 | 5.00 | 25.00 | |
9 | 130 | 128.000 | 2.00 | 2.00 | 4.00 |
forecast error=demand value-forecast value | absolute forecast error | squared forcast error | |
et=Dt-Ft | | et | | (et)² | |
total sum= | 3.00 | 21.00 | 89.00 |
n= | 6 | 6 | 6 |
average= | 0.50 | 3.50 | 14.83 |
mean absolute deviation for the forecast = MAD = Σ |et|/n = 3.50
-----------------------
mean squared error for the forecast=MSE= Σ(et)²/n =
14.83
========================
answer: Moving Average
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