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The design of a resilient and sustainable maximal covering closed-loop supply chain network under hybrid uncertainties: a case study in tire industry

Author

Listed:
  • Mohamadreza Fazli-Khalaf

    (Kharazmi University)

  • Bahman Naderi

    (Kharazmi University)

  • Mohammad Mohammadi

    (Kharazmi University)

  • Mir Saman Pishvaee

    (Iran University of Science and Technology)

Abstract

This paper aims at designing a sustainable and resilient tire closed-loop supply chain network based on a real case study in Iran. To immune the network against disruptions, a new resiliency approach is proposed by extending efficient demand coverage plans. The developed model includes four objectives. The first objective minimizes the total costs of the network along with maximizing the coverage of customers’ demand. As a new concept, the second objective maximizes the operational reliability of facilities to extend a consistent and responsive tire supply chain. Also, to design a sustainable network, the third objective function minimizes CO2 emissions in the strategic and tactical planning horizons. Moreover, the fourth objective maximizes the social responsibility of the network via introducing new social factors. A new mixed fuzzy possibilistic flexible programming method is also proposed to handle constraints’ violations and parameters’ uncertainty. Outputs confirm the accurate performance of the extended model and ensure its applicability in the real-world case study.

Suggested Citation

  • Mohamadreza Fazli-Khalaf & Bahman Naderi & Mohammad Mohammadi & Mir Saman Pishvaee, 2021. "The design of a resilient and sustainable maximal covering closed-loop supply chain network under hybrid uncertainties: a case study in tire industry," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 9949-9973, July.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:7:d:10.1007_s10668-020-01041-0
    DOI: 10.1007/s10668-020-01041-0
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    References listed on IDEAS

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    1. Zheng, Xiaojin & Yin, Meixia & Zhang, Yanxia, 2019. "Integrated optimization of location, inventory and routing in supply chain network design," Transportation Research Part B: Methodological, Elsevier, vol. 121(C), pages 1-20.
    2. Diabat, Ali & Jabbarzadeh, Armin & Khosrojerdi, Amir, 2019. "A perishable product supply chain network design problem with reliability and disruption considerations," International Journal of Production Economics, Elsevier, vol. 212(C), pages 125-138.
    3. Zhang, Xiaoge & Mahadevan, Sankaran & Sankararaman, Shankar & Goebel, Kai, 2018. "Resilience-based network design under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 364-379.
    4. Mohamadreza Fazli-Khalaf & Neda Ghasemi Nemati, 2019. "A socially responsible supplier selection model under uncertainty: case study of pharmaceutical department of an Iranian hospital," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 32(1), pages 69-90.
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    Cited by:

    1. Xuan Zhao & Benhong Peng & Chaoyu Zheng & Anxia Wan, 2022. "Closed-loop supply chain pricing strategy for electric vehicle batteries recycling in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 7725-7752, June.
    2. Govindan, Kannan & Salehian, Farhad & Kian, Hadi & Hosseini, Seyed Teimoor & Mina, Hassan, 2023. "A location-inventory-routing problem to design a circular closed-loop supply chain network with carbon tax policy for achieving circular economy: An augmented epsilon-constraint approach," International Journal of Production Economics, Elsevier, vol. 257(C).
    3. Lin Chen & Ting Dong & Jin Peng & Dan Ralescu, 2023. "Uncertainty Analysis and Optimization Modeling with Application to Supply Chain Management: A Systematic Review," Mathematics, MDPI, vol. 11(11), pages 1-45, May.
    4. Yang Hu, 2023. "Perspectives in closed-loop supply chains network design considering risk and uncertainty factors," Papers 2306.04819, arXiv.org.

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