Two independent methods of forecasting based on judgment and
experience have been prepared each month for the past 10 months.
The forecasts and actual sales are as follows:
Month | Sales | Forecast 1 | Forecast 2 |
1 | 771 | 769 | 769 |
2 | 790 | 788 | 791 |
3 | 794 | 795 | 796 |
4 | 776 | 780 | 778 |
5 | 772 | 772 | 771 |
6 | 770 | 774 | 773 |
7 | 761 | 760 | 762 |
8 | 774 | 771 | 772 |
9 | 792 | 792 | 791 |
10 | 794 | 798 | 796 |
a. Compute a tracking signal for the 10th month
for each forecast using the cumulative error for months 1 to 10.
Use action limits of ± 4. Is there bias present? (Do not
round your intermediate calculations. Round your answers to 2
decimal places. Negative amounts should be indicated by a minus
sign.)
Forecast | Tracking Signal | Bias |
Method 1 | (Click to select) Not present Present | |
Method 2 | (Click to select) Not present Present | |
b. Compute 2s control limits for each
forecast. (Do not round your intermediate calculations.
Round your answers to 2 decimal places.)
Forecast | Control Limits |
Method 1 | |
Method 2 | |
a) Tracking signal is given by fromula,
Tracking signal=Sum of errors/MAD
The errors and absolute errors have been tabulated for both the methods below:-
Month | Sales | Forecast 1 | Forecast 2 | Error 1 | Error 2 | Abs Error 1 | Abs Error 2 |
1 | 771 | 769 | 769 | 2 | 2 | 2 | 2 |
2 | 790 | 788 | 791 | 2 | -1 | 1 | 1 |
3 | 794 | 795 | 796 | -1 | -2 | 2 | 2 |
4 | 776 | 780 | 778 | -4 | -2 | 2 | 2 |
5 | 772 | 772 | 771 | 0 | 1 | 1 | 1 |
6 | 770 | 774 | 773 | -4 | -3 | 3 | 3 |
7 | 761 | 760 | 762 | 1 | -1 | 1 | 1 |
8 | 774 | 771 | 772 | 3 | 2 | 2 | 2 |
9 | 792 | 792 | 791 | 0 | 1 | 1 | 1 |
10 | 794 | 798 | 796 | -4 | -2 | 2 | 2 |
For method 1,
Sum of errors=-5, MAD=1.7, so, tracking signal=-5/1.7=-2.94
Similarly, for method 2,
Sum of errors=-5, MAD=1.7, so, tracking signal=-5/1.7=-2.94
As the tracking errors are within the action limits, so, there is no bias in any of the forecast methods.
b) 2s control limits
For the forecast methods, 2s control limits are given by
UCL=Mean(of forecast)+2*(1.25*MAD)=Mean+2.5*MAD, and
LCL=Mean-2*(1.25*MAD)=Mean-2.5*MAD
For Method 1,
UCL=779.9+2.5*(1.7)=784.15, LCL=779.9-2.5*(1.7)=775.65
For Method 2,
UCL=779.9+2.5*(1.7)=784.15, LCL=779.9-2.5*(1.7)=775.65
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