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首页> 外文期刊>Engineering Management Journal. >Effects of an Inaccurate Sorting Procedure on Optimal Procurement and Production Decisions in a Remanufacturing System
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Effects of an Inaccurate Sorting Procedure on Optimal Procurement and Production Decisions in a Remanufacturing System

机译：不准确分类程序对再制造系统中最佳采购和生产决策的影响

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摘要

Under the uncertainty of market demand and quality of returns, sorting prior to disassembly is effective for timely obtaining information about the remanufacturability of used products. In this article, we assume that the remanufacturable fraction of used products is a random variable and introduce an inaccurate sorting procedure of used products prior to disassembly. Then, three two-stage optimization models are formulated to maximize the expected profits of a remanufacturer in a single period with used products and/or new parts as inputs to meet the stochastic market demand. Moreover, the article provides a case study to explore the optimal decisions under different scenarios and analyzes the effects of parameters, such as the unit disassembly cost, unit sorting cost, and proportion of sorting errors. Finally, the results indicate that whether remanufacturing with sorting is more profitable than that without sorting mainly depends on the sorting accuracy and the relative value between disassembly cost and sorting cost. When considering or not considering a long lead time of new parts, the effects of sorting errors on procurement policies are different. A long lead time will result in lower expected profits. Finally, the diverse types of classification errors have different influences on procurement policies and corresponding expected profit.
机译：在市场需求和回报质量的不确定性下，在拆卸前的分类是有效的，即时获得有关使用产品的再制造性的信息。在本文中，我们假设使用过的产品的再制备部分是随机变量，并在拆卸之前引入使用的产品的不准确分选程序。然后，配制了三种两级优化模型，以在单一的时间内最大化再生制造商的预期利润，其中包括使用的产品和/或新零件作为满足随机市场需求的输入。此外，本文提供了案例研究，用于探讨不同场景下的最佳决策，并分析参数的影响，例如单位拆卸成本，单位排序成本和分类误差的比例。最后，结果表明，对排序的再制造是否比没有分类的汇流更有利数，主要取决于分类精度和拆卸成本和分类成本之间的相对值。在考虑或不考虑新零件的长时间时期，对采购策略对错误的影响是不同的。长期的提前时间将导致较低的预期利润。最后，各种类型的分类错误对采购政策的影响不同，以及相应的预期利润。

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