Abstract

The complexity of modern production and logistics results in recurring decisions being made with the help of decision support methods (DSM). However, choosing an appropriate DSM is complex, especially when considering the available data. A procedural model assists practitioners in this selection by providing a structured, comprehensible, and repeatable approach. This paper proposes a procedural model that categorizes questions arising in production and logistics while supporting the selection of suitable DSMs as well as techniques for aggregating and disaggregating data.