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International Conference on Business Process Management

BPM 2020: Business Process Management Workshops pp 95–107Cite as

Using Physical Factory Simulation Models for Business Process Management Research

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 397))

Abstract

The production and manufacturing industries are currently transitioning towards more autonomous and intelligent production lines within the Fourth Industrial Revolution (Industry 4.0). Learning Factories as small scale physical models of real shop floors are realistic platforms to conduct research in the smart manufacturing area without depending on expensive real world production lines or completely simulated data. In this work, we propose to use learning factories for conducting research in the context of Business Process Management (BPM) and Internet of Things (IoT) as this combination promises to be mutually beneficial for both research areas. We introduce our physical Fischertechnik factory models simulating a complex production line and three exemplary use cases of combining BPM and IoT, namely the implementation of a BPM abstraction stack on top of a learning factory, the experience-based adaptation and optimization of manufacturing processes, and the stream processing-based conformance checking of IoT-enabled processes.

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Notes

  1. 1.

    https://smartfactory.de/.

  2. 2.

    https://www.fischertechnik.de/en/simulating/industry-4-0.

  3. 3.

    https://iot.uni-trier.de.

  4. 4.

    https://www.uni-ulm.de/in/iui-dbis/forschung/laufende-projekte/dbisfactory/.

  5. 5.

    https://wst.cs.univie.ac.at/research/projects/project/292/.

  6. 6.

    https://camunda.com/.

  7. 7.

    https://siddhi.io/.

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Author information

Authors and Affiliations

  1. Business Information Systems II, University of Trier, 54296, Trier, Germany

    Lukas Malburg & Ralph Bergmann

  2. German Research Center for Artificial Intelligence (DFKI), Branch University of Trier, Behringstraße 21, 54296, Trier, Germany

    Ralph Bergmann

  3. Institute of Computer Science, University of St. Gallen, 9000, St. Gallen, Switzerland

    Ronny Seiger & Barbara Weber

Authors
  1. Lukas Malburg
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  2. Ronny Seiger
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  3. Ralph Bergmann
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  4. Barbara Weber
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Corresponding author

Correspondence to Lukas Malburg .

Editor information

Editors and Affiliations

  1. Universidad de Sevilla, Seville, Spain

    Adela Del Río Ortega

  2. Kühne Logistics University, Hamburg, Germany

    Henrik Leopold

  3. Universidade do Estado do Rio de Janeiro – UERJ, Rio de Janeiro, Brazil

    Flávia Maria Santoro

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Malburg, L., Seiger, R., Bergmann, R., Weber, B. (2020). Using Physical Factory Simulation Models for Business Process Management Research. In: Del Río Ortega, A., Leopold, H., Santoro, F.M. (eds) Business Process Management Workshops. BPM 2020. Lecture Notes in Business Information Processing, vol 397. Springer, Cham. https://doi.org/10.1007/978-3-030-66498-5_8

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  • DOI: https://doi.org/10.1007/978-3-030-66498-5_8

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