对偶(语法数字)
供应链
收入
计算机科学
提前期
运筹学
持有成本
战略式采购
订单(交换)
业务
库存控制
库存管理
供应链管理
运营管理
风险分析(工程)
经济
营销
数学
艺术
文学类
会计
战略财务管理
战略规划
财务
出处
期刊:Operations Research
[Institute for Operations Research and the Management Sciences]
日期:2024-12-20
卷期号:73 (4): 1723-1743
被引量:8
标识
DOI:10.1287/opre.2022.0624
摘要
Dual-Sourcing Inventory Management Under Incomplete Information The class of dual-sourcing problems is one of the most fundamental challenges in inventory and supply chain management and is a common practice in global supply chain management. Under a dual-sourcing strategy, a firm procures items from a regular source with lower cost and longer lead time and an expedited source with higher cost and shorter lead time. We focus on Tailored Base-Surge (TBS) policies, where a constant order is placed with the regular source each period, and the expedited source follows an order-up-to rule. Although existing literature assumes that stochastic demand processes are known inputs to optimization models, decision-makers often lack this information in practice and must learn it in real time to maximize expected revenue. In “Tailored Base-Surge Policies in Dual-Sourcing Inventory Systems with Demand Learning”, B. Chen and C. Shi develop online learning algorithms for finding the optimal TBS policy, demonstrating strong theoretical and numerical performance.
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