Robust environmental closed-loop supply chain design under uncertainty

With the fast developments in product remanufacturing to improve economic and environmental performance, an environmental closed-loop supply (ECLSC) chain is important for enterprises' competitiveness. In this paper, a robust ECLSC network is investigated which includes multiple plants, collect...

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Veröffentlicht in:Chaos, solitons and fractals Jg. 89; S. 195 - 202
Hauptverfasser: MA, Ruimin, YAO, Lifei, JIN, Maozhu, REN, Peiyu, LV, Zhihan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.08.2016
Schlagworte:
closed-loop supply chain network
Environmental
Robust optimization
Uncertainty
Environmental
Uncertainty
Robust optimization
closed-loop supply chain network
ISSN:0960-0779, 1873-2887
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Zusammenfassung:With the fast developments in product remanufacturing to improve economic and environmental performance, an environmental closed-loop supply (ECLSC) chain is important for enterprises' competitiveness. In this paper, a robust ECLSC network is investigated which includes multiple plants, collection centers, demand zones, and products, and consists of both forward and reverse supply chains. First, a robust multi-objective mixed integer nonlinear programming model is proposed to deal with ECLSC considering two conflicting objectives simultaneously, as well as the uncertain nature of the supply chain. Cost parameters of the supply chain and demand fluctuations are subject to uncertainty. The first objective function aims to minimize the economical cost and the second objective function is to minimize the environmental influence. Then, the proposed model is solved as a single-objective mixed integer programming model applying the LP-metrics method. Finally, numerical example has been presented to test the model. The results indicate that the proposed model is applicable in practice.
ISSN:0960-0779
1873-2887
DOI:10.1016/j.chaos.2015.10.028