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Stock Replenishment and Shipment Scheduling for Vendor-Managed Inventory Systems

机译:供应商管理的库存系统的库存补充和发货计划

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摘要

Vendor-managed inventory (VMI) is a supply-chain initiative where the supplier is authorized to manage inventories of agreed-upon stock-keeping units at retail locations. The benefits of VMI are well recognized by successful retail businesses such as Wal-Mart. In VMI, distortion of demand information (known as bullwhip effect) transferred from the downstream supply-chain member (e.g., retailer) to the upstream member (e.g., supplier) is minimized, stockout situations are less frequent, and inventory-carrying costs are reduced. Furthermore, a VMI supplier has the liberty of controlling the downstream resupply decisions rather than filling orders as they are placed. Thus, the approach offers a framework for synchronizing inventory and transportation decisions. In this paper, we present an analytical model for coordinating inventory and transportation decisions in VMI systems. Although the coordination of inventory and transportation has been addressed in the literature, our particular problem has not been explored previously. Specifically, we consider a vendor realizing a sequence of random demands from a group of retailers located in a given geographical region. Ideally, these demands should be shipped immediately. However, the vendor has the autonomy of holding small orders until an agreeable dispatch time with the expectation that an economical consolidated dispatch quantity accumulates. As a results, the actual inventory requirements at the vendor are partly dictated by the parameters of the shipment-release policy in use. We compute the optimum replenishment quantity and dispatch frequency simultaneously. We develop a renewaltheoretic model for the case of Poisson demands, and present analytical results.
机译:供应商管理的库存(VMI)是一项供应链计划,授权供应商在零售地点管理已商定的库存单位的库存。 VMI的优势已被成功的零售企业(如沃尔玛)充分认可。在VMI中,从下游供应链成员(例如,零售商)转移到上游成员(例如,供应商)的需求信息的失真(称为牛鞭效应)被最小化,缺货情况不那么频繁,并且库存成本降低了减少。此外,VMI供应商可以自由控制下游的补给决策,而不是在下达订单时就下达订单。因此,该方法提供了用于同步库存和运输决策的框架。在本文中,我们提出了一个用于协调VMI系统中的库存和运输决策的分析模型。尽管在文献中已经讨论了库存和运输的协调,但是我们以前没有探讨过我们的特殊问题。具体来说,我们考虑一个供应商,该供应商从位于给定地理区域的一组零售商实现了一系列随机需求。理想情况下,这些需求应立即发货。但是,卖方可以保留小订单,直到可以商定的调度时间为止,并且期望可以累积经济的合并调度数量。结果,供应商的实际库存需求部分由使用中的发货放行策略的参数决定。我们同时计算最佳补货数量和调度频率。我们针对泊松需求开发了一个更新理论模型,并提出了分析结果。

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