From the 1 of 9 linked papers with an AI index.
9 papers
Specification-first convergence with an AI coding agent: a case study of dismantling a core architectural invariant across 189 files in a 717k-line codebase with no test oracle and no human code review
Joel Abenhaim
This paper reports a single, fully instrumented case study of a large-scale architectural refactoring by an AI coding agent under a specification-first protocol, with no human revi…
Large Language Model for Operations Research Formulation Selection in Multi-Warehouse Inventory Allocation
Jintao Xu, Yingzheng Ma, Jiong Dong +2
The paper introduces a large language model that selects the most suitable mixed‑integer programming formulation for each multi‑warehouse inventory allocation instance, improving a…
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…
Solver-Verified Formulation Generation and Selection for Multi-Warehouse Inventory Allocation Using Large Language Models
Jintao Xu, Yingzheng Ma, Jiong Dong +4
Balance-oriented multi-warehouse inventory allocation is a recurring decision problem in large-scale e-commerce supply chains, in which a fixed replenishment quantity is distribute…
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…
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…