Prof. Christophe Sauvey holds an electrical engineering degree (1997) and a PhD in electrical engineering (2000) from the National Polytechnic Institute of Grenoble (INPG, France). He is currently a Professor at the Technological Institute of Metz, University of Lorraine (France), where he lectures on automation and industrial engineering. Prof. Sauvey’s research interests lie at the intersection of mathematical modeling, optimization, and operational decision making. His work encompasses the development and application of advanced heuristics and meta-heuristics to solve complex scheduling problems, including those involving mixed blocking, health systems, and non-identical parallel machines. In addition, his expertise extends to supply chain management, facility location optimization, and decision support for financial investments. Prof. Sauvey’s contributions aim to provide innovative, practical solutions to challenging industrial problems, enhancing both system performance and decision-making processes across diverse sectors.