SCOPE: Supply-Chain Operations through Coupled Policies for End-to-End Coordination· 端到端供应链协调政策
Can supply-chain AI move beyond isolated decision modules toward unified operational planning? A complete replenishment plan specifies which products each location carries, which upstream facility supplies it, how often it is replenished, and how deliveries are routed. These decisions are operationally coupled: the selected assortment changes the demand and load passed to later stages; source assignment and replenishment frequency reshape the delivery requests; and route feasibility and cost, in turn, determine the system value of the earlier choices. Yet in modern supply chains, these decisions are often handled by separate departments and optimized through separate systems, which can lead to stockouts, inventory exposure, and avoidable transportation. We propose SCOPE: Supply-Chain Opera
端到端供应链协调的统一AI规划模型。
- 核心方法
- 提出SCOPE模型，通过耦合策略统一处理产品组合、供应商分配、补货频率和运输路径决策。
- 适合谁读
- 研究者、供应链管理专业人士
- 要解决的问题
- 现有供应链AI决策模块分离导致库存和运输效率低下。
- 关键实验
- 未提供
- 主要贡献
- 实现供应链运营决策的端到端协调，提高整体效率和系统价值。
- 意义与局限
- 研究推动了供应链管理向更集成化的AI方向发展，可能减少库存风险和运输成本，但也需要考虑跨部门合作的挑战。