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Optimal lot sizing in screening processes with returnable defective items

机译:带有可退回缺陷品的筛选过程中的最佳批量

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This paper is an extension of Hsu and Hsu (Int J Ind Eng Comput 3(5):939–948, 2012) aiming to determine the optimal order quantity of product batches that contain defective items with percentage nonconforming following a known probability density function. The orders are subject to 100?% screening process at a rate higher than the demand rate. Shortage is backordered, and defective items in each ordering cycle are stored in a warehouse to be returned to the supplier when a new order is received. Although the retailer does not sell defective items at a lower price and only trades perfect items (to avoid loss), a higher holding cost incurs to store defective items. Using the renewal-reward theorem, the optimal order and shortage quantities are determined. Some numerical examples are solved at the end to clarify the applicability of the proposed model and to compare the new policy to an existing one. The results show that the new policy provides better expected profit per time.
机译:本文是Hsu和Hsu(Int J Ind Eng Comput 3(5):939–948,2012)的扩展,旨在确定产品批次的最佳订购数量,这些产品批次包含具有不合格百分比且遵循已知概率密度函数的有缺陷项目。订单要经历高于需求率100%的筛选过程。短缺是缺货的,每个订购周期中的有缺陷的物品都存储在仓库中,以便在收到新订单时退还给供应商。尽管零售商不以较低的价格出售有缺陷的物品,而仅交易完美的物品(以避免损失),但是存储有缺陷的物品会产生较高的持有成本。使用更新奖励定理,确定最佳订单和短缺量。最后,通过一些数值示例进行了求解,以阐明所提出模型的适用性,并将新政策与现有政策进行比较。结果表明,新政策每次提供了更好的预期利润。

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