Applying digital twins for inventory and cash management in supply chains under physical and financial disruptions
Applying digital twins for inventory and cash management in supply chains under physical and financial disruptions
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DOI：
10.1080/00207543.2022.2093682
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发表时间：
2022-07
影响因子：
9.2
通讯作者：
E. Badakhshan;P. Ball
中科院分区：
文献类型：
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作者：
E. Badakhshan;P. Ball
供应链（sc）在一个高度破坏性的环境中运行，在那里他们面临着各种各样的产品和现金流中断。在这样的环境下，确定合适的库存和现金补充政策可以确保现金和库存在正确的时间处于正确的位置，并提供一个高效的供应链和高水平的客户服务。在本研究中，我们首先考察了实物和资金流动中断对供应链绩效的影响。然后，我们研究了SC数字孪生框架的潜力，以帮助决策者在中断期间管理整个SC的库存和现金，目前文献中没有。拟议的SC数字孪生框架集成了机器学习（ML）和模拟，以确定库存和现金补充政策，最大限度地减少中断对SC绩效的影响。在需求增加、产能减少和信用购买增加的供应链中，这种方法是有效的。结果表明，采用SC数字孪生导致SC上游成员的现金转换周期显着减少。我们观察到上游SC成员的现金转换周期受到其直接下游成员采用的库存政策的极大影响。
ABSTRACT Supply chains (SCs) operate in a highly disruptive environment, where they face a variety of disruptions in product and cash flows. In such an environment, determining suitable inventory and cash replenishment policies ensures that cash and inventory are at the right place at the right time and provides a productive SC with high customer service levels. In this study, we first examine the impact of the disruptions in physical and financial flows on SC performance. We then, investigate the potential of a SC digital twin framework to help decision-makers in managing inventory and cash throughout the SC during disruption, currently absent from the literature. The proposed SC digital twin framework integrates machine learning (ML) and simulation to identify the inventory and cash replenishment policies that minimise the impact of the disruptions on SC performance. This approach proves effective in a SC disrupted by demand increase, capacity reduction, and credit purchase increase. Results show that employing the SC digital twin leads to a noticeable reduction in the cash conversion cycle for upstream members of the SCs. We observe that the cash conversion cycle for the upstream SC members is greatly impacted by the inventory policy employed by their immediate downstream members.