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A dynamic joint replenishment policy with auto-correlated demand

机译:具有自动相关需求的动态联合补货策略

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We consider a joint replenishment problem where the product demands are auto-correlated but independent of each other. A dynamic periodic review policy is developed, and its parameters are determined by a heuristic which aims at minimizing the total inventory cost, which includes the holding cost, the set up cost and the shortage cost. The heuristic updates the review interval and the target inventory level of every product at each review point based on the current inventory status and the past demand data. A simulation model is developed to compare the performance of this proposed policy with an existing periodic review policy. The results show that the proposed policy has consistently achieved significant saving in all the different experimental scenarios. (c) 2004 Elsevier B.V. All rights reserved.
机译:我们考虑一个联合补货问题,其中产品需求是自动关联的,但彼此独立。制定了动态的定期审查策略,并通过启发式方法确定其参数,该方法旨在使总库存成本(包括持有成本,设置成本和短缺成本)最小化。启发式更新基于当前库存状态和过去的需求数据来更新每个检查点的每个产品的检查间隔和目标库存水平。开发了一个仿真模型,以比较此提议的策略与现有的定期审查策略的性能。结果表明,在所有不同的实验场景中,拟议的政策都实现了显着的节省。 (c)2004 Elsevier B.V.保留所有权利。

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