Suppliers portfolio and returner incentive decisions in closed-loop remanufacturing systems under multiple stochastic scenarios

IF 3.6 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
A. Ruiz-Torres, F. Mahmoodi, S. Ohmori, A. Hlali
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引用次数: 2

Abstract

ABSTRACT We propose a decision tree model that considers reverse and forward flows in a closed-loop supply chain (CLSC). Based on observations of three CLSCs, the model considers an environment where there is uncertainty in the quantity of returned used components (and new components from suppliers) with the decision being the incentive offered to each return source. Given that there are multiple suppliers, one must determine which supplier(s) to use and the corresponding capacity to reserve, in order to minimise total system costs. An example and a sensitivity analysis are presented to illustrate the model and to investigate multiple scenarios under various conditions. The analysis demonstrates that the supplier portfolio and returner incentive decisions are strongly linked to the supplier reliability, returned quantities, and the costs of not meeting the demand. Furthermore, the analysis suggests that understanding the behaviour of return sources relative to incentives is the most critical variable to implement the model.
多随机情况下闭环再制造系统中供应商组合与回收商激励决策
摘要:我们提出了一个决策树模型,该模型考虑闭环供应链中的正向和反向流动。基于对三个CLSC的观察,该模型考虑了一个环境,在该环境中,退回的旧部件(以及供应商的新部件)的数量存在不确定性,决策是为每个退货来源提供的激励。考虑到有多个供应商,必须确定使用哪个供应商以及保留相应的容量,以最大限度地降低系统总成本。给出了一个例子和灵敏度分析,以说明该模型,并研究不同条件下的多个场景。分析表明,供应商组合和退货者激励决策与供应商可靠性、退货数量和不满足需求的成本密切相关。此外,分析表明,了解回报来源相对于激励的行为是实施该模型的最关键变量。
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来源期刊
International Journal of Sustainable Engineering
International Journal of Sustainable Engineering GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
7.70
自引率
0.00%
发文量
19
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