| Possible Values |  |
| Moving Average ERP LN determines the average demand for a number of past periods. The periods that ERP LN takes into account are the current period plus a definable number of previous periods. Each time that ERP LN calculates the moving average, the most recent period is added, and the oldest period is dropped. Exponential Smoothing ERP LN applies a weighted average for past demand figures. The heaviest weight is assigned to the most recent demand figures. Polynomial Regression ERP LN applies the polynomial regression analysis technique. In this technique, an n'th degree polynom is determined that matches the historical demand pattern. This method is suitable to forecast only a few periods into the future. Time Series Analysis ERP LN applies the linear regression analysis technique. In this technique, a first degree polynom is determined (unless the trend is progressive). Not Applicable No demand forecast will be calculated for this plan item. |