In: Statistics and Probability
An operations manager, after monitoring the production forecast for the last 12 months, calculated the following errors: MAD=34.7; MSE=127.6; MAPE=12.5%. She then collected actual vs forecast data for an additional 8 months:
Period | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
Actual - Forecast | 30 | 27 | -25 | 13 | -31 | 5 | -12 | 18 |
A) Calculate 3 sigma upper and lower control limits for the data
B)using these limits is most recent forecast "in-control"?
C)should she consider changing the forecasting methodology?
Solution:-
(A) Calculate 3 sigma upper and lower control limits for the data
MSE=127.6, MAD=34.7, MAPE=12.5%
3 sigma upper control limit = 0+3 sqrt(MSE)
3 sigma upper control limit = 3 sqrt (127.6) = 3*11.296017
3 sigma upper control limit = 33.88805099
MSE=127.6, MAD=34.7, MAPE=12.5%
3 sigma lower control limit = 0-3 sqrt(MSE)
3 sigma lower control limit = 3 sqrt (127.6) = -3*11.296017
3 sigma lower control limit = -33.88805099
MSE=127.6, MAD=34.7, MAPE=12.5%
B)Using these limits is most recent forecast "in-control"?
The production forecast for the last 12 months and MSE=127.6, MAD=34.7, MAPE=12.5%
We can see forecast errors for additional 8 months are within control limits
C)Should she consider changing the forecasting methodology?
The production forecast for the last 12 months and MSE=127.6, MAD=34.7, MAPE=12.5%
No she should not consider changing the forecasting methodology