Defense of Thanh-Tuan NGUYEN (IT department)

In the age of globalization, supply chains are becoming increasingly interdependent, so that a disruption in one region can impact the entire network. Industries such as textiles and fashion, characterized by short product life cycles, high demand volatility and low forecast accuracy, face significant risk management and resilience challenges.

With the emergence of Industry 4.0 and industrial data, digital technologies play a key role in effective supply chain risk management (SCRM).

While artificial intelligence (AI) and machine learning (ML) enable predictive, adaptive and data-driven risk management through high-volume, multidimensional analysis, traditional machine learning approaches rely on data centralization, raising privacy and sustainability concerns and limiting collaboration.

This thesis proposes federated learning (FL) as a collaborative, privacy-friendly approach to enhancing GRCL, resilience, trust and sustainability. Three AF Frameworks - centralized (AFC), decentralized (AFD) and adaptive (AFA) - are proposed and evaluated through case studies focusing on the textile supply chain.

The results show the potential of AF to improve risk management, enable proactive mitigation strategies and strengthen business continuity and supply chain resilience.

FA particularly benefits small and medium-sized enterprises (SMEs) integrated into global supply chains and supports the competitiveness of developing countries like Vietnam, facilitating their integration into global value chains.

Based on the TEO (Technology - Environment - Organization) framework, this thesis provides practical recommendations for governments and companies wishing to adopt digital technologies - particularly federated learning - to improve GRCF in volatile, uncertain, complex and ambiguous (VUCA) environments.

• Mrs Feng CHU (Professor at the University of Evry Paris-Saclay, France; Rapporteur)
• Mr Hamid ALLAOUI (Professor at the University of Artois, France; Rapporteur)
• Mr. M'hammed SAHNOUN (HDR - Research Director at the LINEACT laboratory of the CESI Group, France; Examiner)
• Mrs Yasmina HANI (Professor at Université Paris 8, France; Examiner)
• Mr Tarik CHARGUI (Senior Lecturer at the Université Polytechnique des Hauts-de-France, France; Guest Member)
• Mr Abdelhakim ARTIBA (Lecturer at Université Polytechnique des Hauts-de-France, France; Thesis supervisor)
• Mr Abdelghani BEKRAR (Lecturer at Université Polytechnique des Hauts-de-France, France; Co-supervisor)
• Mrs Thi-Muoi LE (Senior Lecturer at the Université Polytechnique des Hauts-de-France, France; Co-supervisor)
• Mrs Thi Thu Huong TRINH (Senior Lecturer at the School of Economics & International Business, Foreign Trade University, Vietnam; Co-supervisor)

Digitization, supply chain, risk management, federated learning, risk prediction, textiles, sustainability, resilience, business performance, Vietnam.