6 papers · 1 filter
DualCert: A Solver for the Traveling Salesman Problem with Constraint-Coupled Learning
Yancheng Song, Yongzhi Qi, Wei Qi +1
Large traveling salesman problem (TSP) instances require a solver to allocate limited computation while preserving the validity of its outputs. Existing neural--operations-research…
SCOPE: Supply-Chain Operations through Coupled Policies for End-to-End Coordination
Yunhao Liang, Xianqi Cao, Pujun Zhang +4
Can supply-chain AI move beyond isolated decision modules toward unified operational planning? A complete replenishment plan specifies which products each location carries, which u…
Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation
Jintao Xu, Yingzheng Ma, Jiong Dong +2
Multi-warehouse inventory allocation is typically formulated as a mixed-integer programming (MIP) problem, yet no single formulation consistently matches heterogeneous instance-lev…
SPORD: A Simulation-Propose-then-OR-Dispose Approach for Supply Chain Planning
Jiayin He, Yutong Pan, Sen Yang +5
For years, supply chain planning at e-commerce firms has operated as a collection of isolated projects. Each planning task from static network planning to dynamic warehouse assortm…
ORPR: An OR-Guided Pretrain-then-Reinforce Learning Model for Inventory Management
Lingjie Zhao, Xue Yu, Yongzhi Qi +6
As the pursuit of synergy between Artificial Intelligence (AI) and Operations Research (OR) gains momentum in handling complex inventory systems, a critical challenge persists: how…
Rethinking Supply Chain Planning: A Generative Paradigm
Jiaheng Yin, Yongzhi Qi, Jianshen Zhang +5
Supply chain planning is the critical process of anticipating future demand and coordinating operational activities across the logistics network. However, within the context of con…