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Optimal Buyer's Replenishment Policy in the Integrated Inventory Model for Imperfect Items

机译:不完备物品的综合库存模型中的最优买方补货策略

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摘要

In the classical economic order quantity (EOQ) models, a common unrealistic assumption is that all the items received are of good quality. However, in realistic environment, a received shipment usually contains a fraction of imperfect quality items. These imperfect items may be scrapped, reworked at a cost, or salvaged at a discounted price. While the percentage of imperfect items is random, the optimal ordering cycle is rarely considered in current literatures. This paper revisits the model (Maddah and Jaber, 2008) and extends it by assuming that the ordering cycle is determined by the demand rate, delivery quantity per shipment, and the mathematical expectation of the defective rate. The possibility of stockout or residue in the end of a cycle will be considered, and the loss of stockout and the salvage of the residue are counted into the cost. Besides, we consider consolidating the shipments of imperfect items over multiple deliveries. Thus, an integrated vendor-buyer inventory model for imperfect quality items with equal-size shipment policy is established to derive the optimal ordering cycle, ordering quantity, and number of deliveries. The computational method of the optimal delivery quantity per shipment and number of deliveries is given through theoretical results. Finally, sensitivity of main parameters is analyzed through simulation experiments and shown by some figures.
机译:在经典的经济订单数量(EOQ)模型中,一个不现实的普遍假设是,所收到的所有物品都是优质的。但是,在实际环境中,收到的货件通常包含一小部分不完善的质量物品。这些不完善的物品可能会被报废,以一定成本进行返工或以打折的价格进行抢救。尽管不完善项目的百分比是随机的,但在当前文献中很少考虑最佳排序周期。本文回顾了该模型(Maddah和Jaber,2008年),并通过假设订购周期由需求率,每批货物的交付数量以及不良率的数学期望确定,对其进行了扩展。将考虑周期结束时缺货或残留的可能性,并将缺货的损失和残渣的节省计入成本。此外,我们考虑合并多次交付中不完善项目的发货。因此,建立了具有相同大小的装运策略的不完善质量物品的集成卖方-买方库存模型,以得出最佳订购周期,订购数量和交货数量。通过理论计算得出了每批货​​物的最佳交付数量和交付数量的计算方法。最后,通过仿真实验对主要参数的敏感性进行了分析,并给出了一些数字。

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  • 来源
    《Mathematical Problems in Engineering》 |2016年第9期|5382329.1-5382329.10|共10页
  • 作者单位

    Hechi Univ, Hechi 546300, Peoples R China;

    Guangxi Univ, Nanning 530004, Peoples R China;

    Hechi Univ, Hechi 546300, Peoples R China;

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