Fourth-Party Logistics Network Design with Demand Surge: A Greedy Scenario-Reduction and Scenario-Price based Decomposition Algorithm

Jan 1, 2023·
Songchen Jiang
Songchen Jiang
,
Min Huang
,
Y. Zhang
,
X. Wang
,
S.C. Fang
· 0 min read
Abstract
Fourth-party logistics network design under demand surge using scenario reduction and decomposition.
Type
Publication
International Journal of Production Economics
publications
Songchen Jiang
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.