GENG Na

GENG Na is an Associate Professor in the Department of Industrial Engineering and Management at the School of Mechanical Engineering, Shanghai Jiao Tong University. Her research interests include operational research of healthcare systems, capacity planning and allocation, and resource optimization. She has led several research projects, including National Natural Science Fund initiatives focused on resource scheduling and optimization in clinical services. GENG has published extensively in international journals, contributing to areas such as dynamic outpatient scheduling, capacity allocation for imaging facilities, and semiconductor manufacturing. She teaches courses on production planning and control and service management to undergraduate students.

Na GENG is a researcher at Shanghai Jiao Tong University with a focus on production and operations management, particularly in the context of intelligent manufacturing and semiconductor industries. Their work explores capacity planning, scheduling, and optimization techniques to address challenges in manufacturing and healthcare settings. GENG's research integrates advanced algorithms, such as genetic algorithms and stochastic programming, to improve decision-making processes. They also examine service-oriented strategies, including servitization and hospital equity in resource allocation. Their publications highlight the application of simulation, dynamic programming, and multi-objective optimization in managing complex systems.