The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems
The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems
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DOI：
10.1080/00207543.2018.1510191
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发表时间：
2019-12-02
影响因子：
9.2
通讯作者：
Syntetos, Aris A.
中科院分区：
文献类型：
--
作者：
Goltsos, Thanos E.;Ponte, Borja;Syntetos, Aris A.
近年来，许多公司放弃了传统的开环供应链结构，转而采用闭环供应链结构，以减轻对环境的影响，并利用经济机会。闭环模式的核心是再制造：将使用过的产品恢复到使用寿命。虽然这种操作模式具有延长产品生命周期的巨大潜力，但收集和回收过程降低了开环系统现有控制机制的有效性。我们系统地回顾了闭环供应链动力学领域的文献，探讨了再制造供应链中不同要素的物质流和信息流的时变相互作用。作为补充，我们进一步审查了我们称之为这种系统的三个“支柱”，即预测、收集、库存和生产控制。这为我们提供了一个跨学科的视角来研究“回旋镖”效应（即销售、消费和退货过程）如何影响闭环系统的行为，并了解如何控制它。为了促进这一点，我们将闭环供应链动力学研究与每个支柱中发达的研究进行了对比；探索不同的学科如何适应供应、过程、需求和控制的不确定性；并为未来再制造系统动力学研究提供参考。
Recent years have witnessed companies abandon traditional open-loop supply chain structures in favour of closed-loop variants, in a bid to mitigate environmental impacts and exploit economic opportunities. Central to the closed-loop paradigm is remanufacturing: the restoration of used products to useful life. While this operational model has huge potential to extend product life-cycles, the collection and recovery processes diminish the effectiveness of existing control mechanisms for open-loop systems. We systematically review the literature in the field of closed-loop supply chain dynamics, which explores the time-varying interactions of material and information flows in the different elements of remanufacturing supply chains. We supplement this with further reviews of what we call the three 'pillars' of such systems, i.e. forecasting, collection, and inventory and production control. This provides us with an interdisciplinary lens to investigate how a 'boomerang' effect (i.e. sale, consumption, and return processes) impacts on the behaviour of the closed-loop system and to understand how it can be controlled. To facilitate this, we contrast closed-loop supply chain dynamics research to the well-developed research in each pillar; explore how different disciplines have accommodated the supply, process, demand, and control uncertainties; and provide insights for future research on the dynamics of remanufacturing systems.