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Lean 4.0: typology of scenarios and case studies to characterize Industry 4.0 autonomy model
[Lean 4.0 : typologie de scénarios d'études visant à caractériser les modèles d'autonomie 4.0]

Author

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  • Rosin Frédéric

    (LAMIH - Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 - CNRS - Centre National de la Recherche Scientifique - UPHF - Université Polytechnique Hauts-de-France - INSA Hauts-De-France - INSA Institut National des Sciences Appliquées Hauts-de-France - INSA - Institut National des Sciences Appliquées)

  • Magnani Florian

    (CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon, ECM - École Centrale de Marseille)

  • Joblot Laurent

    (LISPEN - Laboratoire d’Ingénierie des Systèmes Physiques et Numériques - Arts et Métiers Sciences et Technologies - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université)

  • Pascal Forget

    (UQTR - University of Quebec at Trois-Rivieres)

  • Robert Pellerin

    (EPM - École Polytechnique de Montréal)

  • Lamour Samir

    (LAMIH - Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 - CNRS - Centre National de la Recherche Scientifique - UPHF - Université Polytechnique Hauts-de-France - INSA Hauts-De-France - INSA Institut National des Sciences Appliquées Hauts-de-France - INSA - Institut National des Sciences Appliquées)

Abstract

Industry 4.0 is leading to rethink how operational decisions are made within companies. In particular, it raises the question of the evolution of employee involvement and autonomy in operational decision-making in a Lean 4.0 context. Dealing with such issues within companies presents high stakes but also involves many risks and difficulties. Therefore, it is necessary to test these new Industry 4.0 autonomy models within our Evolutive Learning Factories by developing a suitable experimental protocol. This article proposes a typology of scenarios and case studies that will serve as a basis for future experiments to study these issues in a standardized work context. This first study framework confirmed that the decisions induced by all the problems and opportunities encountered at the operational level are numerous and varied. This research work is a first step and opens up much broader research perspectives on the contribution of Industry 4.0 technologies in implementing new models of autonomy at work.

Suggested Citation

  • Rosin Frédéric & Magnani Florian & Joblot Laurent & Pascal Forget & Robert Pellerin & Lamour Samir, 2022. "Lean 4.0: typology of scenarios and case studies to characterize Industry 4.0 autonomy model [Lean 4.0 : typologie de scénarios d'études visant à caractériser les modèles d'autonomie 4.0]," Post-Print hal-03799489, HAL.
    • Handle: RePEc:hal:journl:hal-03799489
    Note: View the original document on HAL open archive server: https://hal.science/hal-03799489
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    References listed on IDEAS

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    1. Vasja Roblek & Maja Meško & Alojz Krapež, 2016. "A Complex View of Industry 4.0," SAGE Open, , vol. 6(2), pages 21582440166, June.
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