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A Bi-Objective Green Closed Loop Supply Chain Design Problem with Uncertain Demand

Author

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  • Ming Liu

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Rongfan Liu

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Zhanguo Zhu

    (College of Economics and Management, Nanjing Agricultural University, Nanjing 210095, China)

  • Chengbin Chu

    (School of Economics and Management, Tongji University, Shanghai 200092, China
    Laboratoire Génie Industriel, Centrale Supélec, Uniersité Paris-Saclay, Grande Voie des Vignes, 92290 Châtenay-Malabry, France)

  • Xiaoyi Man

    (Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China)

Abstract

With the development of e-commerce, competition among enterprises is becoming fiercer. Furthermore, environmental problems can no longer be ignored. To address these challenges, we devise a green closed loop supply chain (GCLSC) with uncertain demand. In the problem, two conflict objectives and recycling the used products are considered. To solve this problem, a mathematical model is formulated with the chance constraint, and the ϵ -constraint method is adapted to obtain the true Pareto front for small sized problems. For larger sized problems, the non-dominated sorting genetic algorithm (NSGA-II) and the multi-objective simulated annealing method (MOSA) are developed. Numerous computational experiments can help manufacturers make better production and sales plans to keep competitive advantage and protect the environment.

Suggested Citation

  • Ming Liu & Rongfan Liu & Zhanguo Zhu & Chengbin Chu & Xiaoyi Man, 2018. "A Bi-Objective Green Closed Loop Supply Chain Design Problem with Uncertain Demand," Sustainability, MDPI, vol. 10(4), pages 1-22, March.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:967-:d:138131
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    References listed on IDEAS

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    Cited by:

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    2. Yang Hu, 2023. "Perspectives in closed-loop supply chains network design considering risk and uncertainty factors," Papers 2306.04819, arXiv.org.
    3. Dapeng Yang & Daqing Wu & Luyan Shi, 2019. "Distribution-Free Stochastic Closed-Loop Supply Chain Design Problem with Financial Management," Sustainability, MDPI, vol. 11(5), pages 1-23, February.
    4. Xiao Zhao & Xuhui Xia & Lei Wang & Guodong Yu, 2018. "Risk-Averse Facility Location for Green Closed-Loop Supply Chain Networks Design under Uncertainty," Sustainability, MDPI, vol. 10(11), pages 1-17, November.
    5. Abdul Salam Khan & Qazi Salman Khalid & Khawar Naeem & Rafiq Ahmad & Razaullah Khan & Waqas Saleem & Catalin Iulian Pruncu, 2021. "Application of Exact and Multi-Heuristic Approaches to a Sustainable Closed Loop Supply Chain Network Design," Sustainability, MDPI, vol. 13(5), pages 1-25, February.
    6. Jahani, Hamed & Abbasi, Babak & Sheu, Jiuh-Biing & Klibi, Walid, 2024. "Supply chain network design with financial considerations: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 312(3), pages 799-839.
    7. Luttiely Santos Oliveira & Ricardo Luiz Machado, 2021. "Application of optimization methods in the closed-loop supply chain: a literature review," Journal of Combinatorial Optimization, Springer, vol. 41(2), pages 357-400, February.

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