Songchen Jiang

Songchen Jiang

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.

Electric or fuel? Green routing optimization with time uncertainty in fourth-party logistics

Green routing optimization with time uncertainty in fourth-party logistics.

h.-xu

Dual-Sourcing Made Easy: Distributionally Robust Optimization of Inventory System under Independent Demand

Journal article on distributionally robust inventory systems under independent demand.

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Songchen Jiang

Mathematical modeling and optimization of multi-period fourth-party logistics network design problems with customer satisfaction-sensitive demand

Multi-period fourth-party logistics network design with customer satisfaction-sensitive demand.

y.-zhang

Integrating Supply, Production, and Demand Uncertainties in Manufacturing Inventory Systems

Manufacturing inventory systems with integrated supply, production, and demand uncertainties.

g.-wang

Capacity Planning to Cope with Demand Surges in Fourth-Party Logistics Networks under Chance-Constrained Service Levels

Capacity planning for fourth-party logistics networks under demand surges and chance-constrained service levels.

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Songchen Jiang

Multi-Period Fourth-Party Logistics Network Design from the Viability Perspective: A Double-Layer Q-Learning based Collaborative Hyper-Heuristic Algorithm

A viability-oriented multi-period fourth-party logistics network design model and learning-based hyper-heuristic algorithm.

y.-zhang

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

Fourth-party logistics network design under demand surge using scenario reduction and decomposition.

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Songchen Jiang

Multi-Period Distribution Network Design with Boundedly Rational Customers for the Service-Oriented Manufacturing Supply Chain: A 4PL Perspective

Distribution network design with boundedly rational customers in service-oriented manufacturing supply chains.

y.-zhang

Fourth party logistics network design considering quantity discount

Conference paper on fourth-party logistics network design with quantity discounts.

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Songchen Jiang