Fuzzy Bi-Objective Closed-Loop Supply Chain Network Design Problem with Multiple Recovery Options

Jian Zhou, Wenying Xia, Ke Wang, Hui Li and Qianyu Zhang
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Jian Zhou: School of Management, Shanghai University, Shanghai 200444, China
Wenying Xia: School of Management, Shanghai University, Shanghai 200444, China
Ke Wang: School of Management, Shanghai University, Shanghai 200444, China
Hui Li: School of Management, Shanghai University, Shanghai 200444, China
Qianyu Zhang: School of Management, Shanghai University, Shanghai 200444, China

Sustainability, 2020, vol. 12, issue 17, 1-26

Abstract: A network design of a closed-loop supply chain (CLSC) with multiple recovery modes under fuzzy environments is studied in this article, in which all the cost coefficients (e.g., for facility establishment, transportation, manufacturing and recovery), customer demands, delivery time, recovery rates and some other factors that cannot be precisely estimated while designing are modeled as triangular fuzzy numbers. To handle these uncertain factors and achieve a compromise between the two conflicting objectives of maximizing company profit and improving customer satisfaction, a fuzzy bi-objective programming model and a corresponding two-stage fuzzy interactive solution method are presented. Applying the fuzzy expected value operator and fuzzy ranking method, the fuzzy model is transformed into a deterministic counterpart. Subsequently, Pareto optimal solutions are determined by employing the fuzzy interactive solution method to deal with the conflicting objectives. Numerical experiments address the efficiency of the proposed model and its solution approach. Furthermore, by comparing these results with the CLSC network design in deterministic environments, the benefits of modeling the CLSC network design problem with fuzzy information are highlighted.

Keywords: closed-loop supply chain network; network optimization; fuzzy bi-objective programming; fuzzy interactive method (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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