Analyzing Multi-level BOM-Structured Event Data

Lecture notes in business information processing, pp. 47–59

Abstract

Abstract With the advent of Industry 4.0, increasing amounts of data on operational processes (e.g., manufacturing processes) become available. These processes can involve hundreds of different materials for a relatively small number of manufactured special-purpose machines rendering classical process discovery and analysis techniques infeasible. However, in contrast to most standard business processes, additional structural information is often available—for example, Bills of Materials (BOMs), listing the required materials, or Multi-level Manufacturing Bills of Materials (M2BOMs), which additionally show the material composition. This work investigates how structural information given by Multi-level Bills of Materials (M2BOMs) can be integrated into a top-down operational process analysis framework to improve special-purpose machine manufacturing processes. The approach is evaluated on industrial-scale printer assembly data provided by Heidelberger Druckmaschinen AG.

Authors 5

1. Tobias Brockhoff corresponding Aachen Process and Data Science Chair

   RWTH Aachen University

   Affiliation as printed

   Process and Data Science Chair, RWTH Aachen University, Aachen, Germany

2. Merih Seran Uysal Aachen Process and Data Science Chair

   RWTH Aachen University

   Affiliation as printed

   Process and Data Science Chair, RWTH Aachen University, Aachen, Germany

3. Isabelle Terrier

   Heidelberger Druckmaschinen (Germany)

   Affiliation as printed

   Heidelberger Druckmaschinen AG, Heidelberg, Germany

4. Heiko Göhner

   Heidelberger Druckmaschinen (Germany)

   Affiliation as printed

   Heidelberger Druckmaschinen AG, Heidelberg, Germany

5. Wil M. P. van der Aalst Aachen Process and Data Science Chair

   RWTH Aachen University

   Affiliation as printed

   Process and Data Science Chair, RWTH Aachen University, Aachen, Germany