A Data Model to Apply Process Mining in End-to-End Order Processing Processes of Manufacturing Companies

Abstract

To master ongoing market competitiveness, manufacturing companies try to increase process efficiency through process improvements. Mapping the end-to-end order processing is particularly important, as one needs to consider all order-fulfilling core processes to evaluate process performance. However, process mapping in manufacturing companies is mostly applied in partial processes and not on the end-to-end order processing. Process mining provides a data-based description of processes and their performance and thus objectively and effortlessly maps real as-is processes. The data basis for process mining is an event log. Nevertheless, the generation of an event log in end-to-end order processing is not as trivial as in partial processes, as different data from different information systems must be merged. This paper discusses the development of a data model through an Action Design Research (ADR) method, derived and validated across ADR-cycles. The data model presents, which data can be extracted from integrated database sources to create the required event log for process mining in end-to-end order processing.

Authors 5

1. Günther Schuh Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Laboratory for Machine Tools and Production Engineering (WZL),Germany

   Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Germany

2. Andreas Gützlaff Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Laboratory for Machine Tools and Production Engineering (WZL),Germany

   Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Germany

3. Sven Cremer Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Laboratory for Machine Tools and Production Engineering (WZL),Germany

   Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Germany

4. Seth Schmitz Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Laboratory for Machine Tools and Production Engineering (WZL),Germany

   Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Germany

5. A. Ayati Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Laboratory for Machine Tools and Production Engineering (WZL),Germany

   Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Germany