Stochastic integrated manufacturing and remanufacturing model with shortage, rework and quality based return rate in a closed loop supply chain
Stochastic integrated manufacturing and remanufacturing model with shortage, rework and quality based return rate in a closed loop supply chain
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DOI：
10.1016/j.jclepro.2016.09.173
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发表时间：
2017-01
影响因子：
11.1
通讯作者：
Mohammad Sadegh Moshtagh;A. Taleizadeh
中科院分区：
文献类型：
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作者：
Mohammad Sadegh Moshtagh;A. Taleizadeh
在过去的几十年里，闭环供应链（CLSC）系统中生产，回收和退货物品的库存管理已被大量考虑。现有文献中的大多数作品都假设制造和再制造的物品具有相同的质量。然而，在实践中，一些客户认为再制造的产品质量较低，而不是新生产的产品。因此，本文假设制造产品和再制造产品的需求是不同的。这一假设造成销售损失，因为生产的和再生产的物品都有短缺期。在实际生产系统中，由于生产过程的恶化或其他不可控因素，不可避免地会产生不良品。为了考虑到这个问题，生产和再生产过程被假定为不完美的，因为它可以产生一些缺陷，这些缺陷将在相同的周期中重新加工。此外，为了使研究切合实际，我们假设使用项目的回报率作为一个变量函数，它取决于最低可接受的质量水平的回报。此外，在本研究中，退货的质量被认为是一个随机变量，并在假设上，回购成本，再制造成本和残值取决于退货的质量水平。基本上，三种不同的随机模型，具有不同的概率分布函数，数学上开发的多个制造和再制造周期。一个解决方案的过程中引入，然后有数值研究，以显示所开发的模型的适用性，并进行敏感性分析。最后对全文进行了总结，并提出了进一步的研究方向。
Over the last few decades, inventory management of produced, recovered, and returned items in the closed loop supply chain (CLSC) systems has been significantly taken into consideration. Most of available works in the literature assumed that manufactured and remanufactured items have the same quality. However in practices, some customers perceive remanufactured items as lower quality products rather than newly produced items. Therefore, this paper assumes demands for manufactured items and remanufactured ones are not same. This assumption causes lost sales in which there are shortage periods for both produced and reproduced items. In the real-life production systems, the generation of nonconforming items is inevitable owing to deteriorating process or other uncontrollable factors. In order to take this issue into account, the production and reproduction processes are assumed to be imperfect as it can produce some defectives which would be reworked in the same cycles. Moreover, to make the study realistic, we assume the return rate of used items as a variable function which depends on the minimum acceptable quality level of returns. Furthermore, in this research the quality of returned items is considered as a random variable and based on this assumption, buyback cost, remanufacturing cost and salvage value depend on quality level of returned items. Basically, three different stochastic models, with different probability distribution functions, are mathematically developed for multiple manufacturing and remanufacturing cycles. A solution procedure is introduced and then there numerical studies are provided to show the applicability of the developed models and also to perform a sensitivity analysis. Finally, conclusion and future researches are presented.