In: Statistics and Probability
Period |
Demand |
Forecast |
Error |
MAD |
Bias |
TS |
Oct 17 |
850 |
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Nov 17 |
950 |
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Dec 17 |
900 |
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Jan 18 |
1000 |
|||||
Feb 18 |
950 |
|||||
Mar 18 |
1050 |
|||||
Apr 18 |
850 |
|||||
May 18 |
1100 |
|||||
Jun 18 |
900 |
|||||
Jul 18 |
1150 |
|||||
Aug 18 |
1100 |
|||||
Sep 18 |
900 |
|||||
Oct 18 |
1000 |
|||||
Nov 18 |
800 |
|||||
Dec 18 |
1000 |
Answer:
By taking average of last three months for calculating the forecast of the month, we get the 3 month moving average forecasting
Month |
Demand |
3 month Moving Average |
Forecast |
Error |
Absolute Deviation |
MAD = Mean Absolute Deviation |
Bias |
TS |
Oct-17 |
850 |
MAD = Sum of Absolute Deviation / No. of months |
Bias = Sum of errors / No. of months |
TS = Sum of errors / MAD |
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Nov-17 |
950 |
|||||||
Dec-17 |
900 |
|||||||
Jan-18 |
1000 |
900 |
900 |
100 |
100 |
|||
Feb-18 |
950 |
950 |
950 |
0 |
0 |
|||
Mar-18 |
1050 |
950 |
950 |
100 |
100 |
|||
Apr-18 |
850 |
1000 |
1000 |
-150 |
150 |
|||
May-18 |
1100 |
950 |
950 |
150 |
150 |
|||
Jun-18 |
900 |
1000 |
1000 |
-100 |
100 |
|||
Jul-18 |
1150 |
950 |
950 |
200 |
200 |
|||
Aug-18 |
1100 |
1050 |
1050 |
50 |
50 |
|||
Sep-18 |
900 |
1050 |
1050 |
-150 |
150 |
|||
Oct-18 |
1000 |
1050 |
1050 |
-50 |
50 |
|||
Nov-18 |
800 |
1000 |
1000 |
-200 |
200 |
|||
Dec-18 |
1000 |
900 |
900 |
100 |
100 |
|||
Total |
50.00 |
1350.00 |
The forecast looks good because the value of TS is 0.44 and the value of MAD 112.50
The lower TS value shows that the forecast was good.
The errors are not much large with respect to the demand forecasting.