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Business process management for Industry 4.0 – Three application cases in the DFKI-Smart-Lego-Factory

  • Jana-Rebecca Rehse

    Jana-Rebecca Rehse is a Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI). She holds a Bachelor and a Master Degree in Information Systems from Saarland University. In 2014, she was a visiting research scholar at Stevens Institute of Technology in Hoboken, NJ. Her research interests include Business Process Management, Reference Modeling, Process Mining, Process Prediction, and Design Science.

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    , Sharam Dadashnia

    Sharam Dadashnia is a Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI). His research interest is primary in the field of business process management, especially in process mining and the application in domains such as Industry 4.0 and the automated testing of software usability. Prior to that, he worked in software development at SAP SE. In addition to his scientific activities, Sharam Dadashnia is managing director of a software development company iSol UG he co-founded.

    and Peter Fettke

    Prof. Dr Peter Fettke is Professor of Business Informatics at Saarland University and Principal Researcher, Research Fellow and Research Group Leader at the German Research Center for Artificial Intelligence (DFKI). Prof. Fettke and his 30-strong research group focus on the interface between the topics of business process management and artificial intelligence (AI). He is the author of more than 100 publications and belongs to the top 10 most cited scientists at the DFKI.

Abstract

The advent of Industry 4.0 is expected to dramatically change the manufacturing industry as we know it today. Highly standardized, rigid manufacturing processes need to become self-organizing and decentralized. This flexibility leads to new challenges to the management of smart factories in general and production planning and control in particular. In this contribution, we illustrate how established techniques from Business Process Management (BPM) hold great potential to conquer challenges in Industry 4.0. Therefore, we show three application cases based on the DFKI-Smart-Lego-Factory, a fully automated “smart factory” built out of LEGO® bricks, which demonstrates the potentials of BPM methodology for Industry 4.0 in an innovative, yet easily accessible way. For each application case (model-based management, process mining, prediction of manufacturing processes) in a smart factory, we describe the specific challenges of Industry 4.0, how BPM can be used to address these challenges, and, their realization within the DFKI-Smart-Lego-Factory.

ACM CCS:

About the authors

Jana-Rebecca Rehse

Jana-Rebecca Rehse is a Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI). She holds a Bachelor and a Master Degree in Information Systems from Saarland University. In 2014, she was a visiting research scholar at Stevens Institute of Technology in Hoboken, NJ. Her research interests include Business Process Management, Reference Modeling, Process Mining, Process Prediction, and Design Science.

Sharam Dadashnia

Sharam Dadashnia is a Researcher at the Institute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI). His research interest is primary in the field of business process management, especially in process mining and the application in domains such as Industry 4.0 and the automated testing of software usability. Prior to that, he worked in software development at SAP SE. In addition to his scientific activities, Sharam Dadashnia is managing director of a software development company iSol UG he co-founded.

Peter Fettke

Prof. Dr Peter Fettke is Professor of Business Informatics at Saarland University and Principal Researcher, Research Fellow and Research Group Leader at the German Research Center for Artificial Intelligence (DFKI). Prof. Fettke and his 30-strong research group focus on the interface between the topics of business process management and artificial intelligence (AI). He is the author of more than 100 publications and belongs to the top 10 most cited scientists at the DFKI.

References

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Received: 2018-01-26
Revised: 2018-03-27
Accepted: 2018-04-25
Published Online: 2018-06-28
Published in Print: 2018-07-01

© 2018 Walter de Gruyter GmbH, Berlin/Boston

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