A Staggered Ordering Policy for One-Warehouse, Multiretailer Systems
A Staggered Ordering Policy for One-Warehouse, Multiretailer Systems
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DOI：
10.1287/opre.48.2.281.12387
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发表时间：
2000-03
期刊：
影响因子：
--
通讯作者：
Fangruo Chen;Rungson Samroengraja
中科院分区：
文献类型：
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作者：
Fangruo Chen;Rungson Samroengraja
我们考虑一个一个仓库，n个相同的零售商模型。随机需求发生在完全积压的零售商。零售商从仓库中补充库存，而仓库又从具有无限库存的外部供应商处订购。每个零售商根据基本库存策略每n个周期下一个订单，并且零售商的重新订购间隔是交错的，因此每个周期只有一个零售商下订单。仓库根据自己的库存状况根据（s, s）策略进行订单。我们考虑两种分配策略，过去优先级分配（PPA）和当前优先级分配（CPA），它们指定零售商订单如何在仓库中填充。对于PPA模型，我们提供了计算长期平均总成本的精确过程。基于精确的过程，我们开发了一个近似模型，可用于确定PPA和CPA模型的近最优控制参数。我们进行了一项计算研究来测试近似模型的有效性，并比较了两种分配策略的性能。
We consider a one-warehouse,N-identical-retailer model. Random demands occur at the retailers with complete backlogging. The retailers replenish their inventories from the warehouse, which in turn orders from an outside supplier with unlimited stock. Each retailer places an order everyN periods according to a base-stock policy, and the reorder intervals of the retailers are staggered so that only one retailer places an order in each period. The warehouse orders according to an ( s, S) policy based on its own inventory position. We consider two allocation policies, past priority allocation (PPA) and current priority allocation (CPA), which specify how the retailer orders are filled at the warehouse. For the PPA model, we provide an exact procedure for computing the long-run average total cost. Based on the exact procedure, we develop an approximate model that can be used to determine near-optimal control parameters for both the PPA and the CPA model. We conduct a computational study to test the effectiveness of the approximate model and to compare the performance of the two allocation policies.