发表机构
School of Industrial & Systems Engineering, Georgia Institute of Technology; Physical Internet Center, Supply Chain & Logistics Institute, Georgia Institute of Technology; Georgia Institute of Technology; Kedge Business School（佐治亚理工学院工业与系统工程学院; 佐治亚理工学院供应链与物流研究所物理互联网中心; 佐治亚理工学院; 凯德商学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对供应链中断，提出开放容量池化，用ADMM协调私有模型，以LLM索引资料指导搜索，验证报价并再优化，显著提升容量恢复价值。
AI 中文摘要
中断可能耗尽供应链网络的容量，然而外部容量难以利用：现有模型是私有的，供应商资料是非结构化的，且报价在付出高昂接触成本之前一直保持隐藏。我们提出了开放容量池化，将网络成员资格视为一种中断响应决策。交替方向乘子法（ADMM）在不共享模型的情况下协调现有成员，而剩余容量缺口则指导对由大型语言模型（LLM）索引的资料进行搜索。验证揭示报价，降成本筛选接纳它们，热启动的ADMM进行再优化。如果每个符合条件的报价都以精确价格被揭示，该过程是最优的，否则为启发式。在200个合成情节中，完全信息开放恢复了容量短缺成本的24.6%。在40次接触下，协调导向的需求选择和LLM排名捕获了该价值的32.0%，而无导向、无排名的接触仅为4.7%。LLM读取所有资料的表现与完整结构化注册表和无错误提取相差5个百分点以内，并在10,000条记录中比关键词搜索找到四倍多的兼容供应商。资料所遗漏的是每个供应商的单个报价所覆盖的确切容量，而其他容量的请求则失败；在同一索引中注册报价将无接触限制的捕获价值从46.8%提升至98.6%，并在每次测试的接触费用下保持净价值为正。
英文摘要
Disruptions can exhaust a supply chain network's capacity, yet outside capacity is hard to use: incumbent models are private, provider profiles are unstructured, and offers stay hidden until costly engagement. We formulate open capacity pooling, making network membership a disruption-response decision. The alternating direction method of multipliers (ADMM) coordinates incumbents without sharing models, and residual capacity gaps direct search over profiles indexed by a large language model (LLM). Verification reveals offers, reduced-cost screening admits them, and warm-started ADMM re-optimizes. The procedure is optimal if every eligible offer is revealed at exact prices, heuristic otherwise. Across 200 synthetic episodes, full-information opening recovers 24.6% of capacity-scarcity cost. With 40 contacts, coordination-directed need selection and LLM ranking capture 32.0% of this value, versus 4.7% for undirected, unranked contact. LLM reading of all profiles performs within five points of a complete structured registry and error-free extraction and finds four times as many compatible providers as keyword search among 10,000 records. What profiles omit is the exact capacity each provider's single offer covers, and requests for other capacity fail; registering offers in the same index raises captured value without a contact limit from 46.8% to 98.6%, keeping net value positive at every tested contact charge.
