Soutenance de thèse de Qing LI

Mme Qing LI soutient sa thèse Mercredi 27 Novembre à 08h00, intitulée : "Responsible production in agricultural supply chains: An impact of Information transparency". La soutenance a lieu sur le campus Doua (INSA).

Résumé :
The development of information and communication technologies (ICT) has enabled the manufacturing industry to undergo a major transformation over the past decade with the fourth industrial revolution, or Industry 4.0 (I4.0). This smart manufacturing paradigm has expanded possibilities for factories in terms of competitiveness and productivity, especially regarding customized production, one of the main objectives of I4.0.
Quality 4.0 (Q4.0), one of its sub-components, is drawing significant attention due to its impact on production (cost, reputation, etc.).
Although research efforts have solidified its key concepts and definitions, the main concern is that Q4.0 might be reduced to merely digitizing existing quality processes from older paradigms (TQM). The literature highlights limitations regarding the effective implementation of Q4.0 approaches in a real industrial context, with a lack of adaptation of technological blocks (AI, IoT, etc.) to human collaboration. Furthermore, few studies focus on integrating this approach into decision-making processes in the field.
This thesis is conducted in collaboration with Tardy SAS, an SME specializing in the modeling and production of custom mechanical parts, with the following objectives: 1) Develop a classification of non-conformity adapted to real-time monitoring of the production environment, 2) Characterise a suitable sensor network through appropriate design choices and validation scenarios, 3) Design a relevant AI module for decision support, with evaluation and validation scenarios, 4) Propose an end-to-end design and integration of IoT, AI, and human involvement in a real-time decision-making process with suitable metrics for characterizing the decision support system, self-learning mechanisms, and continuous system improvement.
To achieve this, the "Total Manufacturing Quality" Framework is introduced, and a production application orchestrating the different technological components is developed to create an end-to-end decision support system for manufacturing quality.

Jury :

• Jacques LAMOTHE, Professeur, IMT Mines Albi (Reviewer)
• Ramzi HAMMAMI, Professeur, Rennes School of Business (Reviewer)
• Gülgün ALPAN, Professeur, Grenoble INP (Examiner)
• Katyanne FARIAS, Maitre de conférences, SIGMA Clermont (Examiner)
• Khaled HADJ-HAMOU, Professeur, INSA Lyon
• Yacine REKIK, Professeur, ESCP Business School