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

Rosin Frédéric (), Magnani Florian (), Joblot Laurent (), Pascal Forget (), Robert Pellerin () and Lamour Samir ()
Additional contact information
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
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

Post-Print from HAL

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.

Keywords: Industry 4.0; Lean; Decision-making process; Experimentation; Use case; Typology of cyberautonomy (search for similar items in EconPapers)
Date: 2022-06-22
Note: View the original document on HAL open archive server: https://hal.science/hal-03799489v1
References: View references in EconPapers View complete reference list from CitEc
Citations:

Published in 10th IFAC Conference on Manufacturing Modelling, Management, and Control, MIM 2022, Jun 2022, Nantes, France

Downloads: (external link)
https://hal.science/hal-03799489v1/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03799489

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().