| # Possible Values Moving Average LN determines the average demand for a number of past periods. The periods that LN takes into account are the current period plus a definable number of previous periods. Each time that LN calculates the moving average, the most recent period is added, and the oldest period is dropped. Exponential Smoothing LN applies a weighted average for past demand figures. The heaviest weight is assigned to the most recent demand figures. Polynomial Regression 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 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. |