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The Optimal Replenishment Policies under VMI System with Multi-retailer and Multi-period Random Demand

机译:多零售商多周期随机需求的VMI系统下的最优补货策略

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VMI is a process where the vendor creates orders for their customers based on demand information that they receive from the customers. This arrangement can promote a higher level of service and reduce cost by integrating the inventory and replenishment policies especially when the companies rely on third-party logistics providers to transport the products across the supply chain. For this purpose, a supply chain system of single supplier, single warehouse and multi-retailer is studied. At first, an integer programming model and network model of the problem for finding optimal replenishment policies with multi-period random demand is proposed. And then, a shortest path algorithm is designed to solve the network model. Finally, the computational results, comparing with the results of the integer programming model, demonstrate the effectiveness and availability of the network model and the shortest path algorithm.
机译:VMI是一个过程,供应商根据他们从客户收到的需求信息为其客户创建订单。这种安排可以促进更高水平的服务,并通过整合库存和补充政策来降低成本,特别是当公司依靠第三方物流提供商将产品运送到供应链中的产品。为此,研究了单一供应商,单仓和多零售商的供应链系统。首先,提出了一个整数编程模型和网络模型,用于查找具有多周期随机需求的最佳补充策略的问题。然后,设计最短路径算法来解决网络模型。最后,计算结果,与整数编程模型的结果进行比较,证明了网络模型的有效性和可用性和最短路径算法。

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