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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| Published in: | Journal of cleaner production Vol. 243; p. 118591 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
10.01.2020
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| ISSN: | 0959-6526, 1879-1786 |
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| Abstract | 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. |
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| AbstractList | 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. 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. |
| ArticleNumber | 118591 |
| Author | Wang, Yue Xie, Lei Su, Hongye Zhu, Li Lu, Shan |
| Author_xml | – sequence: 1 givenname: Shan surname: Lu fullname: Lu, Shan email: lushan@szpt.edu.cn organization: Institute of Intelligence Science and Engineering, Shenzhen Polytechnic, Shenzhen, China – sequence: 2 givenname: Li surname: Zhu fullname: Zhu, Li organization: Department of Control Science and Engineering, Dalian University of Technology, Dalian, China – sequence: 3 givenname: Yue surname: Wang fullname: Wang, Yue organization: School of Information and Control Engineering, Liaoning Shihua University, Fushun, China – sequence: 4 givenname: Lei surname: Xie fullname: Xie, Lei organization: State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China – sequence: 5 givenname: Hongye surname: Su fullname: Su, Hongye organization: State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China |
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| Keywords | Uncertainty Fuzzy optimization Assembly-recycling system Superstructure Reverse logistics |
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| SubjectTerms | Assembly-recycling system drainage water fuzzy logic Fuzzy optimization linear programming logit analysis raw materials recycling Reverse logistics Superstructure Uncertainty wastes |
| Title | Integrated forward and reverse logistics network design for a hybrid assembly-recycling system under uncertain return and waste flows: A fuzzy multi-objective programming |
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