a) 3 Month Moving Average ,
Ft = (Dt-1 + Dt-2 +Dt-3)/3
F4 = (D3 + D2 + D1)/3 = (260+245+250)/3 = 252
Period | Units Sold (000) | 3 MA |
1 | 250 | |
2 | 245 | |
3 | 260 | |
4 | 280 | 252 |
5 | 320 | 262 |
b ) 3 Month Weighted Average
Weighted Average Forecast formula
Ft = Wt-1*Dt-1 + Wt-2*Dt-2 + Wt-3*Dt-3
In the given Problem , Wt-1 = 0.6 , Wt-2 = 0.3 & Wt-3 = 0.1
Period | Units Sold (000) | 3 MWA |
1 | 250 | |
2 | 245 | |
3 | 260 | |
4 | 280 | 255 |
5 | 320 | 271 |
3.
alpha, = 0.35
Formula for calculating the forecast using exponential smoothing method
Ft+1 = *At + (1-)*Ft
Where Ft+1 is forecast value for t+1 period
At = Actual demand for t period
Ft is forecast value for t period
Period | Units Sold (000) | ES(0.6) |
1 | 250 | |
2 | 245 | |
3 | 260 | 247 |
4 | 280 | 255 |
5 | 320 | 270 |
d) Calculate MAD for each technique
MAD = Sum of Absolute Error/ Number of Period
Error = Ft - Dt
Absolute Error = Absolute value of (Ft - Dt )
Find Error and Absolute error of each Period for all the forecasting type
Period | Units Sold (000) | 3 MA | Absolute(Actual-Forecast) |
1 | 250 | ||
2 | 245 | ||
3 | 260 | ||
4 | 280 | 252 | 28.3 |
5 | 320 | 262 | 58.3 |
MAD | 43.3 |
Period | Units Sold (000) | 3 MWA | Absolute(Actual-Forecast) |
1 | 250 | ||
2 | 245 | ||
3 | 260 | ||
4 | 280 | 255 | 25.5 |
5 | 320 | 271 | 49.5 |
MAD | 37.5 |
Period | Units Sold (000) | ES(0.6) | Absolute(Actual-Forecast) |
1 | 250 | ||
2 | 245 | ||
3 | 260 | 247 | |
4 | 280 | 255 | 25.2 |
5 | 320 | 270 | 50.08 |
MAD | 37.6 |
Technique with less MAD is better technique . So 3 MWA technique can give more confidence
Period | Units Sold (000) | 3 MWA |
1 | 250 | |
2 | 245 | |
3 | 260 | |
4 | 280 | 255 |
5 | 320 | 271 |
6 | 302 |
F6 = 302
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