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Lean 4.0: typology of scenarios and case studies to characterize Industry 4.0 autonomy model

Communication avec acte
Author
ccROSIN, Frédéric
1067790 Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 [LAMIH]
ccMAGNANI, Florian
108098 Centre d'Études et de Recherche en Gestion d'Aix-Marseille [CERGAM]
ccJOBLOT, Laurent
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
ccFORGET, Pascal
425973 Département de mathématiques et d’informatique [Université du Québec à Trois-Rivières]
PELLERIN, Robert
57241 École Polytechnique de Montréal [EPM]
ccLAMOURI, Samir
1067790 Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 [LAMIH]

URI
http://hdl.handle.net/10985/23001
DOI
10.1016/j.ifacol.2022.10.013
Date
2022-10

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.

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