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Coupling Robust Optimization and Model-Checking Techniques for Robust Scheduling in the Context of Industry 4.0

In: Scheduling in Industry 4.0 and Cloud Manufacturing

Author

Listed:
  • Pascale Marangé

    (Université de Lorraine, CRAN, CNRS 7039)

  • David Lemoine

    (IMT Atlantique, LS2N UMR CNRS 6004)

  • Alexis Aubry

    (Université de Lorraine, CRAN, CNRS 7039)

  • Sara Himmiche

    (Université de Lorraine, CRAN, CNRS 7039)

  • Sylvie Norre

    (Université Clermont Auvergne, LIMOS UMR CNRS 6158)

  • Christelle Bloch

    (Université Bourgogne Franche-Comt., FEMTO-ST Institute, CNRS 6174)

  • Jean-François Pétin

    (Université de Lorraine, CRAN, CNRS 7039)

Abstract

This chapter presents a generic methodology when considering robustness in production systems of Industry 4.0. It is the first milestone for coupling Operations Research models for robust optimization and Discrete Event Systems models and tools for property checking. The idea is to iteratively call Operations Research and Discrete Event Systems Models for converging towards a solution with the required robustness level defined by the decision-maker.

Suggested Citation

  • Pascale Marangé & David Lemoine & Alexis Aubry & Sara Himmiche & Sylvie Norre & Christelle Bloch & Jean-François Pétin, 2020. "Coupling Robust Optimization and Model-Checking Techniques for Robust Scheduling in the Context of Industry 4.0," International Series in Operations Research & Management Science, in: Boris Sokolov & Dmitry Ivanov & Alexandre Dolgui (ed.), Scheduling in Industry 4.0 and Cloud Manufacturing, chapter 0, pages 103-124, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-43177-8_6
    DOI: 10.1007/978-3-030-43177-8_6
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