Roland De Guio

Roland De Guio serves as a Lecturer in the Department of Mechanics at the National Institute of Applied Sciences Strasbourg (INSA Strasbourg) and conducts research within the CSIP team of the ICube laboratory. His teaching encompasses supply chain management, maintenance, and modeling-simulation-optimization of activity systems including production, services, and logistics.

His research focuses on Production Management, Supply Chain, Logistics, Lean Manufacturing, and Optimization of Discrete Event Systems. He integrates TRIZ (Theory of Inventive Problem Solving) and data analysis to innovate in industrial systems, particularly for sustainable and resilient supply chains. Teaching keywords reflect applied methodologies in Simulation, Flow Management, and Lean Manufacturing.

Analysis of recent publications (2021-2024) reveals a dominant trend toward integrating discrete event simulation with inventive problem-solving frameworks like TRIZ to address complex industrial challenges. Key application areas include emergency department optimization, remanufacturing systems, lean-green supply chain integration, and industry 4.0 implementation, with strong emphasis on data-driven decision processes and digital twin applications.

As a core member of the CSIP research team at ICube laboratory, De Guio engages in industrial collaborations providing expert advice, equipment support, and professional development for working practitioners. His intervention model bridges academic research with real-world production system challenges through simulation-based problem structuring and optimization.