Integrated forward and reverse logistics network design for a hybrid assembly-recycling system under uncertain return and waste flows: A fuzzy multi-objective programming

This paper addresses the optimal design of a hybrid assembly-recycling network that simultaneously integrates the forward and reverse logistics among its multi-product multi-echelon superstructure. Multiple sources of raw materials including components and parts are considered at different stages of...

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Veröffentlicht in:Journal of cleaner production Jg. 243; S. 118591
Hauptverfasser: Lu, Shan, Zhu, Li, Wang, Yue, Xie, Lei, Su, Hongye
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 10.01.2020
Schlagworte:
Assembly-recycling system
drainage water
fuzzy logic
Fuzzy optimization
linear programming
logit analysis
raw materials
recycling
Reverse logistics
Superstructure
Uncertainty
wastes
Uncertainty
Fuzzy optimization
Assembly-recycling system
Superstructure
Reverse logistics
ISSN:0959-6526, 1879-1786
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Zusammenfassung:This paper addresses the optimal design of a hybrid assembly-recycling network that simultaneously integrates the forward and reverse logistics among its multi-product multi-echelon superstructure. Multiple sources of raw materials including components and parts are considered at different stages of the forward assembly process. The problem investigates three recycling options for final products, semi-products and modules. Various types of uncertainties on return flow and waste flow are investigated. To optimize the dual-system superstructure, the problem is hereby modeled by a fuzzy mixed integer linear programming approach. Piecewise linear membership functions are constructed for the objectives to represent the diversified satisfactory degrees which preferably comply with the real-world decision scenarios. Further, an interactive fuzzy optimization approach is developed to solve the problem by differentiating the piece-wise sections of satisfactory degrees. Finally, an electronic assembly plant with its own recycling process is chosen as the industrial case to implement the proposed approach. Sensitivity analysis and comparison under different scenarios are presented to demonstrate the effectiveness on obtaining compromised solutions under diversified satisfactory degrees in such an uncertain environment. •A hybrid assembly-recycling network with multiple recycling options is designed.•The uncertainties of return and waste flows are simultaneously considered.•A multi-echelon model for optimizing forward and reverse logistics is proposed.•An interactive fuzzy optimization approach with piece-wise membership is developed.
Bibliographie:ObjectType-Article-1
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ISSN:0959-6526
1879-1786
DOI:10.1016/j.jclepro.2019.118591