Frédéric Rosin, professor of industrial management at the Aix-en-Provence campus, will defend his thesis entitled "Towards Lean 4.0: strengthening the decision-making process through Industry 4.0 technologies" on Monday, June 20, at the Arts et Métiers campus Arts et Métiers . His research was conducted as part of a collaboration betweenArts et Métiers LAMIH UMR CNRS 8021.
Thesis summary
Industry 4.0 is increasingly being presented as essential for improving productivity and ensuring economic growth in manufacturing companies. On the other hand, many companies have already partially or completely implemented the principles and tools derived from the Lean approach. The integration of these two essentially very different trends seems to offer significant opportunities for improving operational and decision-making processes.
However, many manufacturers find it difficult to determine the potential for strengthening decision-making processes through these new technologies and the possible repercussions on the autonomy of teams and operational systems.
In order to address these issues, the objective of this research conducted as part of this thesis is to answer the following questions: how can Industry 4.0 technologies strengthen the decision-making process and how can they affect the autonomy of the resources involved?
A literature review first highlighted the links between the main Industry 4.0 technologies and Lean principles, with a particular focus on how certain Industry 4.0 technologies improve the implementation of Lean principles, depending on the capacity levels of the technologies. A model of seven types of autonomy based on the contribution of Industry 4.0 technologies to strengthening the various stages of decision-making processes was proposed. The model contributes to the current literature on Industry 4.0 by clearly demonstrating how 4.0 technologies can improve decision-making processes and how they affect the autonomy of the resources involved at an operational level.
Finally, a Delphi Régnier study was conducted with a representative panel of 24 experts. This study identified and characterized the potential for improving the overall decision-making process with the main groups of Industry 4.0 technologies.
This study thus provides an original characterization of the impacts of Industry 4.0 technologies on Lean principles according to the targeted capacity levels. From a practical standpoint, the proposed model can help manufacturers establish a structured and consistent roadmap for the deployment of Industry 4.0 technologies. Decision-makers can use this model to target the type of autonomy they wish to entrust to operational teams. The goal is to improve the responsiveness of the production system to problems and opportunities encountered in the field.
This study also offers an initial overview of the prospects, expectations, and risks associated with the implementation of new modes of decision-making and cyber autonomy supported by Industry 4.0 technologies.
Composition of the jury
Ms. Hind BRIL-EL HAOUZI, Professor, UL, Rapporteur
Ms. Zohra CHERFI-BOULANGER, Professor, UTC, Examiner
Mr. Pascal FORGET, Professor, UQTR, Examiner
Mr. Samir LAMOURI, Professor, Arts et Métiers, Examiner
Mr. Gilles PACHE, Professor, AMU, Examiner
Mr. Robert PELLERIN, Professor, Polytechnique Montréal, Examiner
Mr. François REGNIER, Doctor, Lorraine Academy of Sciences Lorraine Academy of Sciences, Examiner
Mr. Bertrand ROSE, Professor, University of Strasbourg, Rapporteur
Practical information
The defense will take place in person and remotely.
Salle des Conseils, Campus Arts et Métiers, 2 cours des Arts et Métiers, 13100 Aix-en-Provence
