معرفی
Prof. Leyuan Shi is a Professor in the Department of Industrial and Systems Engineering at the University of Wisconsin-Madison. Her primary affiliation is with the College of Engineering, and she holds additional affiliations with the Manufacturing Systems Engineering Program. Her research focuses on developing theory and methodology for designing and optimizing complex systems, including supply chain networks, manufacturing systems, and communication networks. Her work spans three key areas: semantic modeling/design of systems, sensitivity analysis via discrete-event simulation, and control/optimization frameworks.
Her research interests include scheduling optimization, robust optimization, simulation-based decision-making, and applications in healthcare logistics (e.g., radiation therapy planning) and semiconductor manufacturing. She has contributed significantly to methods like the nested partitions algorithm and evolutionary heuristics for solving challenging scheduling problems.
Recent publications emphasize optimization in multi-stage production systems, dynamic sampling for feasibility determination, and integration of production and transportation scheduling. Her work bridges theoretical advancements with real-world applications in manufacturing, healthcare, and emergency logistics planning. Her expertise spans algorithm design, stochastic systems, and complex system modeling.
Prof. Shi’s research also addresses practical challenges such as wafer defect inspection optimization, machine learning in treatment planning, and emergency material distribution strategies under uncertainty. She collaborates across disciplines to tackle large-scale optimization problems in both academic and industrial contexts.
