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An integrated single-vendor multi-buyer production inventory model with transshipments between buyers

机译:综合单供应商多买家生产库存模型,买家之间的转运

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Vendor managed inventory (VMI) is an approach used by several companies to monitor and control stocks of their products. In this paper, we investigate how VMI with a Consignment Stock (CS) policy may exemplify a successful strategy for both buyers and suppliers. CS allows a vendor to stock some or its entire inventory using its buyers' warehouses. This paper considers the problem of a single vendor with multiple buyers collaborating under VMI with a consignment stock policy. Collaboration between buyers is made possible by allowing transshipments from one buyer to another. Those transshipments pass through multiple redistribution hubs whose locations are determined by considering the inventory levels of buyers and shipment storage capacities between them. This paper shows that transshipments between buyers can be a tool for decreasing the total cost faced by both buyers and their suppliers. Numerical results are also presented to illustrate it and discuss its importance. The cost function is shown to be jointly convex in the shipment sizes between the buyers and them and the vendor under certain conditions, where a genetic algorithm is developed to find the number of shipments between the vendor and buyers.
机译:供应商管理库存(VMI)是几家公司使用的方法,用于监控和控制其产品的股票。在本文中,我们调查了如何使用寄售股票(CS)政策的VMI如何举例说明买家和供应商的成功战略。 CS允许供应商使用其买方的仓库储存一些或其整个库存。本文考虑了单一供应商的问题,其中多个买家在VMI下进行了寄售股票政策。买家之间的合作是通过从一个买方到另一个买方的转运来实现的。这些转运通过多个再分配集线器,其位置是通过考虑购买者的库存水平和它们之间的货件存储能力来确定的。本文表明,买家之间的转运可以成为减少买家及其供应商面临的总成本的工具。还提出了数值结果来说明它并讨论其重要性。在某些条件下,在买方和他们之间的装运大小和供应商之间的运输尺寸和供应商在某些条件下,开发了成本函数将在开发遗传算法和买家之间的货物数量。

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