معرفی
Junkai HE serves as an Assistant Professor in the Operations, Supply Chain and Information Management department at KEDGE Business School and is affiliated with the CESIT research center since September 2024.
He earned his PhD in mathematics and computer science from Paris-Saclay University (France) in 2020, following which he conducted postdoctoral research at IRT SystemX and Télécom SudParis.
His research specializes in decision making under uncertainty through advanced modeling and algorithm design, with primary applications in supply chain management, remanufacturing, and maintenance optimization. Key methodologies include stochastic programming, multi-objective optimization, and predictive maintenance modeling for complex industrial systems.
Analysis of his 2019-2024 publications reveals a consistent trajectory in applying operations research to sustainable industrial practices. His work increasingly focuses on uncertainty integration in disassembly line balancing and remanufacturing systems, while maintaining strong foundations in classical scheduling problems for manufacturing and logistics. Publications predominantly appear in top-tier journals like the International Journal of Production Economics and Computers & Operations Research.
He teaches core operations management courses including operations research, production planning, and logistics, demonstrating active educational engagement. His research at CESIT likely involves industry collaborations addressing real-world supply chain challenges, though specific grant details are unmentioned.
As a CESIT researcher, he contributes to KEDGE's industrial technology research initiatives, bridging theoretical optimization methods with practical applications in manufacturing and logistics systems. Current work appears oriented toward sustainable supply chain innovations and digital transformation of maintenance practices.
