Data-driven Supply Chain Network Planning
6月 21, 2026
·
1 分钟阅读时长
中文页面占位：本页内容由英文版复制而来，你可以后续替换为正式中文项目介绍。
I study supply chain network design problems under demand surges and limited distributional information, with an emphasis on distributionally robust optimization, tractable reformulations, and scalable algorithms.
Authors
Ph.D. Student in Operations Research
I am a joint Ph.D. student in the College of Information Science and Engineering at Northeastern University, China, supervised by Prof. Min Huang, and the Institute of Operations Research and Analytics at the National University of Singapore, supervised by Prof. Chung-Piaw Teo. My research lies at the intersection of data-driven optimization, distributionally robust optimization, stochastic modeling, and supply chain analytics. I am particularly interested in developing tractable optimization models and algorithms for decision-making under uncertainty, with applications in inventory systems, supply chain network design, logistics planning, and operations management.