具有柔性供应网络的动态库存控制模型

Kimitoshi Sato, Naoya Takezawa
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引用次数: 1

摘要

本文考虑了一个企业在其由多个供应商和多个需求节点组成的供应链中面临中断概率的库存问题。公司希望在有限的时间范围内使其总预期成本最小化。为了管理供应链中断,我们在供应链网络中引入了柔性库存管理问题。将该问题表述为马尔可夫决策过程,并推导出状态相关的最优阈值策略。我们证明了期望成本函数在需求分布的凸排序中是单调的,并且最优策略可以用排序成本与供应中断概率的比值来表征。我们还通过数值计算证明了供应链网络的灵活性降低了总期望成本。
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DYNAMIC INVENTORY CONTROL MODEL WITH FLEXIBLE SUPPLY NETWORK
In this paper, we consider the inventory problem of a firm facing disruption probability in its supply chain which consists of multiple suppliers and multiple demand nodes. The firm wishes to minimize its total expected cost in a finite time horizon setting. In order to manage the supply chain disruption, we introduce flexibility into the supply chain network of our inventory management problem. The problem is formulated as a Markov decision process, and a state-dependent optimal threshold policy is derived. We show that the expected cost function is monotonic in the convex ordering of the demand distribution and that the optimal policy can be characterized with the ratio of the ordering cost and the disruption probability of supply. We also numerically demonstrate that the flexibility of the supply chain network reduces the total expected cost.
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来源期刊
Journal of the Operations Research Society of Japan
Journal of the Operations Research Society of Japan 管理科学-运筹学与管理科学
CiteScore
0.70
自引率
0.00%
发文量
12
审稿时长
12 months
期刊介绍: The journal publishes original work and quality reviews in the field of operations research and management science to OR practitioners and researchers in two substantive categories: operations research methods; applications and practices of operations research in industry, public sector, and all areas of science and engineering.
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