OPTIMIZATION OF INTERNAL LOGISTICS USING A COMBINED BPMN AND SIMULATION APPROACH

Authors

  • Maximilian Wuennenberg Chair of Materials Handling, Material Flow, Logistics TUM School of Engineering and Design Technical University of Munich Boltzmannstraße 15, 85748 Garching bei Muenchen, Germany
  • Benjamin Wegerich Chair of Materials Handling, Material Flow, Logistics TUM School of Engineering and Design Technical University of Munich Boltzmannstraße 15, 85748 Garching bei Muenchen, Germany
  • Johannes Fottner Chair of Materials Handling, Material Flow, Logistics TUM School of Engineering and Design Technical University of Munich Boltzmannstraße 15, 85748 Garching bei Muenchen, Germany

DOI:

https://doi.org/10.26034/lu.akwi.2022.3465

Keywords:

BPMN, Internal Logistics, Material Flow Systems, Model-based Systems Engineering, Simulation, Planning

Abstract

The optimization of material flow systems requires a profound understanding of the underlying processes. Business Process Model and Notation (BPMN) is an established way of creating a process model that allows an interdisciplinary analysis and optimization. Quantitative exploration of systems using discrete-event simulation can help to enrich these insights. For that reason, this paper introduces a combined BPMN simulation approach that connects the advantages of both modeling frameworks. By synthesizing systems from generic modules, a comprehensive yet structured optimization process chain is developed. A case study evaluation based on key metrics for material flow.

AKWI

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Published

2022-12-24

Issue

No. 16 (2022)

Section

Fundamentals

License

Copyright (c) 2022 Maximilian Wuennenberg, Benjamin Wegerich, Johannes Fottner

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.