The costumer’s order behavior with regard to multifaceted products changes constantly. New special equipment, new types and derivatives, model upgrades and changing customer needs continuously alter the composition of the production program. During the tactical planning process, automobile manufactures and other mass producers have to coordinate their assemblies as exactly as possible with the orders.
Trends and forecasts help to predict the order program in advance. However, it often takes hours and days to create realistic order programs in order to assess the impact of forecasted market changes on the production. Mathematical algorithms help to reduce this span of time to only a few seconds and to obtain more accurate and detailed results.