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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Jian Zhou & Wenying Xia & Ke Wang & Hui Li & Qianyu Zhang, 2020. "Fuzzy Bi-Objective Closed-Loop Supply Chain Network Design Problem with Multiple Recovery Options," Sustainability, MDPI, vol. 12(17), pages 1-26, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:6770-:d:401850
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    References listed on IDEAS

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    Cited by:

    1. Yang Hu, 2023. "Perspectives in closed-loop supply chains network design considering risk and uncertainty factors," Papers 2306.04819, arXiv.org.
    2. Yang, Y. & Lin, J. & Hedenstierna, C.P.T. & Zhou, L., 2023. "The more the better? The impact of the number and location of product recovery options on the system dynamics in a closed-loop supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    3. Roy Setiawan & Rabia Salman & Bari Galimovich Khairov & Valeriy Vasilyevich Karpov & Svetlana Dmitrievna Danshina & Lidia Vladimirovna Vasyutkina & Natalia Alekseevna Prodanova & Viacheslav Zhenzhebir, 2021. "Sustainable Closed-Loop Mask Supply Chain Network Design Using Mathematical Modeling and a Fuzzy Multi-Objective Approach," Sustainability, MDPI, vol. 13(10), pages 1-12, May.

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