- | # Possible Values Constant In the case of a constant seasonal influence, an absolute seasonal component recurs after every seasonal cycle. Example A product is very popular among consumers towards the end of the year. The seasonal pattern is defined by the following factors:
  Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
  0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 150 | 200
- LN uses these factors as follows: If the average demand is 800, a demand of 1000 is forecast for December. If the average demand is 900, the forecast for December will be 1100. Progressive In the case of a progressive seasonal influence, a relative seasonal component recurs after every seasonal cycle. Example A seasonal pattern is defined by the following factors:
  Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
  1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.15 | 1.2 | 1.25
LN uses these factors as follows: If the average demand is 800, a demand of 1000 is forecast for December. If the average demand is 900, the forecast for December will be 1125. Not Applicable There is no seasonal influence. |