Method 4-6

Enter a Forecast Type next to the Method desired.

4. Moving Average

Specify Forecast Method 4 (TYPF4).

Enter the number of periods to include in the average

Specify the number of periods of actual data the system uses to calculate the best fit forecast. If you leave this processing option blank, the system uses three periods. The system determines the best fit forecast by applying the selected forecasting methods to past sales order history and comparing the forecast simulation to the actual history. When you generate a forecast, the system compares the actual sales order histories to forecasts for the months or weeks you indicate in the processing option and computes how accurately each of the selected forecasting methods would have predicted sales. The system then recommends the most accurate forecast as the best fit.

5. Linear Approximation

Specify Forecast Method 5 (TYPF5).

Enter the number of periods to include in the ratio

Specify the number of periods of actual data the system uses to calculate the best fit forecast. If you leave this processing option blank, the system uses three periods.

The system determines the best fit forecast by applying the selected forecasting methods to past sales order history and comparing the forecast simulation to the actual history. When you generate a forecast, the system compares the actual sales order histories to forecasts for the months or weeks you indicate in the processing option and computes how accurately each of the selected forecasting methods would have predicted sales. The system then recommends the most accurate forecast as the best fit.

6. Least Squares Regression

Specify Forecast Method 11 (TYPF11).

Enter the number of periods to include in the regression

Specify Number Of Periods 04 (NUMP4).