Data-driven Supply Chain Network Planning

Jun 21, 2026 · 1 min read
projects

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.

Songchen Jiang
Authors
Assistant Professor
I will soon join the School of Management at Xi’an Jiaotong University. I received my Ph.D. degree from the College of Information Science and Engineering at Northeastern University, China, under the supervision of Prof. Min Huang. During my doctoral studies, I was also a visiting Ph.D. student at the Institute of Operations Research and Analytics, National University of Singapore, supervised by Prof. Chung-Piaw Teo. My research focuses on data-driven optimization, distributionally robust optimization, and stochastic modeling, with applications in supply chain management, such as inventory optimization, supply chain network design, logistics planning.