Skip to Main content Skip to Navigation
Theses

Vers le Lean 4.0 : Renforcement du processus décisionnel par les technologies de l’Industrie 4.0

Abstract : Industry 4.0 practices are increasingly adopted as a necessity to improve productivity and ensure economic growth for manufacturing companies. However, many companies have already partially or completely implemented Lean manufacturing principles and tools. Integrating these two inherently different approaches appears to offer significant opportunities to improve operational and decision-making processes. However, many manufacturers struggle to determine the potential for enhanced decision-making through these new technologies and the potential impact on team autonomy and operational systems. To address these issues, the objective of the research work conducted in this thesis aims to answer the following questions: how can Industry 4.0 technologies enhance a decision-making process, and how can they affect the autonomy of the resources involved?A literature review first highlighted the links between key Industry 4.0 technologies and Lean principles, with a particular focus on how certain Industry 4.0 technologies enhance the implementation of Lean principles, depending on the technologies’ capability level. A model of seven types of autonomy based on the contribution of Industry 4.0 technologies to enhance the different steps 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 enhance 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 allowed us to identify and characterize the potential for enhancing the overall decision-making process with the main Industry 4.0 groups of technologies.This study thus provides an original characterization of the impacts of Industry 4.0 technologies on Lean principles according to the targeted capability levels. From a practical point of view, the proposed model can help industrials establish a structured and coherent roadmap for the deployment of Industry 4.0 technologies. Decision-makers can use this model to target the type of autonomy they wish to see entrusted to operational teams to improve the production system's responsiveness to problems and opportunities encountered in the field. This study also provides a first vision of the manager’s perspectives, expectations, and risks associated with implementing new modes of decision-making and cyber-autonomy supported by Industry 4.0 technologies.
Document type :
Theses
Complete list of metadata

https://pastel.archives-ouvertes.fr/tel-03716434
Contributor : ABES STAR :  Contact
Submitted on : Thursday, July 7, 2022 - 2:30:44 PM
Last modification on : Friday, July 8, 2022 - 4:22:06 AM

File

113306_ROSIN_2022_archivage.pd...
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-03716434, version 1

Citation

Frédéric Rosin. Vers le Lean 4.0 : Renforcement du processus décisionnel par les technologies de l’Industrie 4.0. Automatique / Robotique. HESAM Université, 2022. Français. ⟨NNT : 2022HESAE039⟩. ⟨tel-03716434⟩

Share

Metrics

Record views

144

Files downloads

109