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Machine Learning and Autonomous Control—A Synergy for Manufacturing

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Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future (SOHOMA 2021)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1034))

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Abstract

This papers studies the synergistic potentials of machine learning and distributed control approaches in a job-shop setting. We utilize a multi-agent based discrete-event simulation to model distributed control in conjunction with a neural network to predict the optimal workshop configuration given fluctuating production demands. Within this simulation model, we study the potential cost and time savings, showing various potentials in the synergistic utilization of distributed control and machine learning for production planning and control in a job-shop manufacturing network.

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Author information

Authors and Affiliations

  1. Chair of Management Science, RWTH Aachen University, Kackertstraße 7, 52072, Aachen, Germany

    Oliver Antons

  2. Otto-von-Guericke University Magdeburg, Universitätsplatz 2, 31904, Magdeburg, Germany

    Julia C. Arlinghaus

Authors
  1. Oliver Antons
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  2. Julia C. Arlinghaus
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Corresponding author

Correspondence to Oliver Antons .

Editor information

Editors and Affiliations

  1. Faculty of Automatic Control and Computer Science, University Politehnica of Bucharest, Bucharest, Romania

    Theodor Borangiu

  2. LAMIH UMR CNRS 8201, Polytechnic University Hauts de France, Valenciennes, France

    Damien Trentesaux

  3. Research Centre in Digitalization and Intelligent Robotics, Polytechnic Institute of Bragança, Bragança, Portugal

    Paulo Leitão

  4. LS2N, UMR CNRS 6004, IUT de Nantes, University of Nantes, Carquefou, France

    Olivier Cardin

  5. Arts et Métiers Institute of Technology LISPEN, HESAM Université UBFC, Cluny, France

    Laurent Joblot

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Antons, O., Arlinghaus, J.C. (2022). Machine Learning and Autonomous Control—A Synergy for Manufacturing. In: Borangiu, T., Trentesaux, D., Leitão, P., Cardin, O., Joblot, L. (eds) Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. SOHOMA 2021. Studies in Computational Intelligence, vol 1034. Springer, Cham. https://doi.org/10.1007/978-3-030-99108-1_30

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