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Building Supply Chain Resilience through Virtual Stockpile Pooling

机译:通过虚拟库存池建立供应链弹性

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Stockpiling inventory is an essential strategy for building supply chain resilience. It enables firms to continue operating while finding a solution to an unexpected event that causes a supply disruption or demand surge. While extremely valuable when actually deployed, stockpiles incur large holding costs and usually provide no benefits until such a time. To help to reduce this cost, this study presents a new approach for managing stockpiles. We show that if leveraged intelligently, stockpiles can also help an organization better meet its own regular demand by enabling a type of virtual pooling we call virtual stockpile pooling (VSP). The idea of VSP is to first integrate the stockpile into several locations' regular inventory buffers and then dynamically reallocate the stockpile among these locations in reaction to the demand realizations to achieve a kind of virtual transshipment. To study how to execute VSP and determine when it can provide the most value, we formulate a stylized multi-location stochastic inventory model and solve for the optimal stockpile allocation and inventory order policies. We show that VSP can provide significant cost savings: in some cases nearly the full holding cost of the stockpile (i.e., VSP effectively maintains the stockpile for free), in other cases nearly the savings of traditional physical inventory pooling. Last, our results prescribe implementing VSP with many locations for large stockpiles, but only a few locations for small stockpiles.
机译:库存库存是建立供应链弹性的一项重要策略。它使公司能够继续运营,同时找到导致供应中断或需求激增的意外事件的解决方案。尽管在实际部署时非常有价值,但库存会产生大量的持有成本,并且通常要等到这样的时间才能带来收益。为了帮助降低成本,本研究提出了一种管理库存的新方法。我们表明,如果智能地加以利用,库存还可以通过启用一种称为虚拟库存池(VSP)的虚拟池来帮助组织更好地满足其自身的常规需求。 VSP的想法是首先将库存集成到多个位置的常规库存缓冲区中,然后根据需求的实现在这些位置之间动态重新分配库存,以实现一种虚拟转运。为了研究如何执行VSP并确定何时可以提供最大价值,我们制定了一种程式化的多位置随机库存模型,并求解了最佳的库存分配和库存订单策略。我们证明了VSP可以节省大量成本:在某些情况下,VSP可以节省库存的全部现成成本(即VSP有效地免费维护库存),而在其他情况下,则可以节省传统的实物库存池。最后,我们的结果要求在大型仓库的许多位置实施VSP,而小型仓库的实施位置只有少数几个位置。

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