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A Novel Closed-Loop Supply Chain Network Design Considering Enterprise Profit and Service Level

Author

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  • Guanshuang Jiang

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Qi Wang

    (School of Science, Shanghai University, Shanghai 200444, China)

  • Ke Wang

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Qianyu Zhang

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Jian Zhou

    (School of Management, Shanghai University, Shanghai 200444, China)

Abstract

Increasing concerns for sustainable development have motivated the study of closed-loop supply chain network design from a multidimensional perspective. To cope with such issues, this paper presents a general closed-loop supply chain network comprising various recovery options and further formulates a multi-objective mixed-integer linear programming model considering enterprise profit and service level simultaneously. Within this model, market segmentation is also considered to meet real-world operating conditions. Moreover, an ε -constraint method and two interactive fuzzy approaches are applied to find a global optimum for this model together with the decisions on the numbers, locations, and capacities of the facilities, as well as the material flow through the network. Ultimately, numerical experiments are conducted to demonstrate the viability and effectiveness of both the proposed model and solution approaches.

Suggested Citation

  • Guanshuang Jiang & Qi Wang & Ke Wang & Qianyu Zhang & Jian Zhou, 2020. "A Novel Closed-Loop Supply Chain Network Design Considering Enterprise Profit and Service Level," Sustainability, MDPI, vol. 12(2), pages 1-21, January.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:2:p:544-:d:307525
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Xifeng Tang & Jiantao Wu & Rui Li, 2020. "Efficient Allocation of Customers to Facilities in the Multi-Objective Sustainable Location Problem," Sustainability, MDPI, vol. 12(18), pages 1-12, September.
    3. Masoud Alinezhad & Iraj Mahdavi & Milad Hematian & Erfan Babaee Tirkolaee, 2022. "A fuzzy multi-objective optimization model for sustainable closed-loop supply chain network design in food industries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8779-8806, June.
    4. Jian Zhou & Kexin Xu & Yuxiu Zhao & Haoran Zheng & Zhengnan Dong, 2021. "Hub-and-Spoke Logistics Network Considering Pricing and Co-Opetition," Sustainability, MDPI, vol. 13(17), pages 1-21, September.

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