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A VNS approach to multi-location inventory redistribution with vehicle routing

机译:用VNS方法通过车辆路线进行多地点库存重新分配

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This paper analyzes a two-echelon inventory problem with uncertain demand, where perishable products are distributed from a central warehouse to retail stores. To better deal with uncertainty, we propose a model in which, at a certain point in time during the operation time window, transshipments between retail stores are allowed in order to re-balance the inventories. The model captures the following decisions: (i) which retail stores are included in re-balancing, (ii) in which sequence will they be visited, (iii) what are the optimal initial delivery and transshipment quantities and (iv) what is the optimal timing for transshipments. The model is solved with variable neighborhood search, which is extended with a dynamic programming sub-routine to handle inventory allocation. We compare our results with similar models from literature. The results show a noticeable improvement over the standard "single-order, no transshipments" policy even though only the inventory level of the visited customer is known. The transshipment quantities have to be determined without knowledge of the inventories of all other customers. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文分析了需求不确定的两级库存问题,其中易腐产品从中央仓库分配到零售商店。为了更好地处理不确定性,我们提出了一种模型,在该模型中,在操作时间窗口内的某个时间点,允许零售商店之间的转运以重新平衡库存。该模型包含以下决策:(i)重新平衡中包括哪些零售商店,(ii)将按什么顺序访问它们,(iii)最佳的初始交付和转运数量是多少,以及(iv)什么是最佳转运的最佳时机。该模型通过可变邻域搜索解决,并通过动态编程子例程进行扩展以处理库存分配。我们将我们的结果与文献中的类似模型进行比较。结果表明,即使仅了解拜访客户的库存水平,也比标准的“单订单,无转运”策略明显改善。必须在不了解所有其他客户库存的情况下确定转运数量。 (C)2016 Elsevier Ltd.保留所有权利。

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