Data based analysis of order processing strategies to support the positioning between conflicting economic and logistic objectives

The order processing strategy directly influences the economic and logistic objectives of manufacturing companies. In industrial practice, is usually chosen based on a few primarily qualitative decision criteria or employees’ experience. increasingly volatile markets require differentiated for each product continuous review decisions made. high number factors influencing wide range products offered by companies make it impossible to manually fast at same time holistic decision. digitalization increasing availability data its quality provide basis developing support system. This paper presents an approach analysis strategies. As models reflect interdependencies conflicting objectives, they are applied derive costs strategies desired adherence delivery service level finished goods store. addition description procedure comparing different strategies, transfer theoretical model into software demonstrator outlined. A case study presented show practicality proposed approach.