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深度堆叠核机器用于数据驱动的多物品单仓库多零售商问题(含延期交货和销售损失)的代码与数据仓库

Code and Data Repository for Deep Stacking Kernel Machines for the Data-Driven Multi-Item, One-Warehouse, Multiretailer Problems with Backlog and Lost Sales

INFORMS journal on computing · 2024
被引 0
人大 BUTD24ABS 3

中文导读

研究了多物品单仓库多零售商库存控制问题,设计了适合该问题的深度网络结构,并开发了LRTO算法和贪心启发式方法,对供应链管理者有参考价值。

Abstract

The one-warehouse multi-retailer (OWMR) problem is an inventory control problem in a two-echelon supply chain. This study extends the OWMR problem to the data-driven multi-item OWMR problems with backlog and lost sales, designs a new deep network structure that is suitable for the specific multi-item OWMR problems, and develops the LRTO algorithm and the greedy heuristic.

供应链管理库存控制深度学习数据驱动决策