Article2018

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

Jana-Rebecca Rehse · Sharam Dadashnia · Peter Fettke

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Business Process Modeling and Analysis Digital Transformation in Industry Flexible and Reconfigurable Manufacturing Systems

Abstract

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.

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References

2016Process Mining 2016Process Mining: Data Science in Action 1999ARIS — Business Process Modeling 2017Predicting process behaviour using deep learning 2010Empirical research in business process management – analysis of an emerging field of research 2017A Deep Learning Approach for Predicting Process Behaviour at Runtime 2017The Internet-of-Things Meets Business Process Management: Mutual Benefits and Challenges 2015A graph-theoretic method for the inductive development of reference process models

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