Fouad Riane

Fouad Riane is an active researcher specializing in supply chain management and operations with significant contributions to healthcare logistics, urban mobility, and sustainable supply chain practices. His work bridges theoretical optimization techniques with real-world applications across hospital systems, agri-food networks, and city transportation infrastructure.

His primary research domains include Supply Chain Management, Operations Management, Lean Six Sigma, and Data Driven Decision Making, with specialized expertise in production-distribution integration, returnable transport items management, and healthcare logistics optimization. Methodologically, he employs discrete event simulation, heuristic algorithms, agent-based modeling, and performance evaluation frameworks to solve complex logistics challenges in dynamic environments.

Analysis of his 15 most recent publications (2024-2025) reveals a strong emphasis on healthcare operations, particularly automated drug distribution systems in hospitals and emergency departments. His work demonstrates consistent methodological rigor through comparative software benchmarking (FlexSim vs AnyLogic) and innovative algorithm development, including artificial-immune-system-based approaches enhanced with deep reinforcement learning. Key application areas span Belgian blood distribution networks, Casablanca urban transport systems, and agri-food sustainability initiatives, with frequent collaboration with Evren Sahin, Alain Guinet, and Christine Di Martinelly across multiple publications.

Riane's research exhibits clear evolution toward more sophisticated computational approaches while maintaining practical relevance, with recent publications addressing critical challenges in supply chain resilience, resource sharing mechanisms, and sustainable logistics design across multiple continents.