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Algorithm Analysis of Optimal Inventory Levels in a Distributed Two-echelon Retailer System Based on Poisson Demands

机译:基于泊松需求的两级分布式零售商系统中最优库存水平的算法分析

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This paper considers the two-echelon retailer system containing M second-echelon distribution center (DC), while each DC satisfy many first-echelon stores periodically. Our object is to minimize the total cost in the supply chain. We assume that customer demand at each store is random and follow a Poisson distribution. When a stockout occurs at the store, the excess demand is special ordered from its DC. We permit the store orders from other DC if its DC is also stockout. If all the DCs are stockout, the excess demands can order from the manufacturer. We assume that the DCs and stores perform periodic review and order strategies, and the replenishment lead times equal to zero. The unit holding cost at the store and the DC have significantly different. Our formulation is an exact calculation of inventory cost and this paper gets optimum order policies. Finally we give a example whose optimum solution can be obtained easily by using MATLAB.
机译:本文考虑了包含M个二级分销中心(DC)的两级零售商系统,而每个DC定期满足许多一级存储。我们的目标是最大程度地减少供应链中的总成本。我们假设每个商店的客户需求都是随机的,并且遵循泊松分布。当商店出现缺货时,多余的需求会从其DC特殊订购。如果其他配送中心也缺货,我们允许来自其他配送中心的商店订单。如果所有DC都缺货,则可以向制造商订购多余的需求。我们假设配送中心和商店执行定期审查和订购策略,并且补货提前期等于零。商店和DC的单位持有成本有显着差异。我们的公式是对库存成本的精确计算,并且本文获得了最佳的订购策略。最后,我们举一个例子,可以通过使用MATLAB轻松获得最佳解决方案。

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