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Green Closed-Loop Supply Chain Network under the COVID-19 Pandemic

Author

Listed:
  • Lily Poursoltan

    (Department of Industrial Engineering, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran)

  • Seyed-Mohammad Seyed-Hosseini

    (Department of Industrial Engineering, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran)

  • Armin Jabbarzadeh

    (Department of Industrial Engineering, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran)

Abstract

The closed-loop supply chain considers conceptually the possibility of reverse logistics with the use of recycling, remanufacturing and disposal centers. This study contributes for the first time a green closed-loop supply chain framework for the ventilators, which are highly important in the case of the COVID-19 pandemic. The proposed model simulates a case study of Iranian medical ventilator production. The proposed model includes environmental sustainability to limit the carbon emissions as a constraint. A novel stochastic optimization model with strategic and tactical decision making is presented for this closed-loop supply chain network design problem. To make the proposed ventilator logistics network design more realistic, most of the parameters are considered to be uncertain, along with the normal probability distribution. Finally, to show the managerial dimensions under the COVID-19 pandemic for our proposed model, some sensitivity analyses are performed. Results confirm the high impact of carbon emissions and demand variations on the optimal solution in the case of COVID-19.

Suggested Citation

  • Lily Poursoltan & Seyed-Mohammad Seyed-Hosseini & Armin Jabbarzadeh, 2021. "Green Closed-Loop Supply Chain Network under the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(16), pages 1-13, August.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9407-:d:619179
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    References listed on IDEAS

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    2. Amir Mohammad Fathollahi-Fard & Abbas Ahmadi & Seyed Mohammad Javad Mirzapour Al-E-Hashem, 2020. "Sustainable closed-loop supply chain network for an integrated water supply and wastewater collection system under uncertainty," Post-Print hal-03004754, HAL.
    3. Keyvanshokooh, Esmaeil & Ryan, Sarah M. & Kabir, Elnaz, 2016. "Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition," European Journal of Operational Research, Elsevier, vol. 249(1), pages 76-92.
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    5. Sanjay Mehrotra & Hamed Rahimian & Masoud Barah & Fengqiao Luo & Karolina Schantz, 2020. "A model of supply‐chain decisions for resource sharing with an application to ventilator allocation to combat COVID‐19," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(5), pages 303-320, August.
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    7. Dmitry Ivanov & Alexandre Dolgui, 2020. "Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2904-2915, May.
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    Cited by:

    1. Xudong Diao & Ai Gao & Xin Jin & Hui Chen, 2022. "A Layer-Based Relaxation Approach for Service Network Design," Sustainability, MDPI, vol. 14(20), pages 1-13, October.
    2. Sina Abbasi & Babek Erdebilli, 2023. "Green Closed-Loop Supply Chain Networks’ Response to Various Carbon Policies during COVID-19," Sustainability, MDPI, vol. 15(4), pages 1-30, February.
    3. Mehdi Alizadeh & Mir Saman Pishvaee & Hamed Jahani & Mohammad Mahdi Paydar & Ahmad Makui, 2023. "Viable healthcare supply chain network design for a pandemic," Annals of Operations Research, Springer, vol. 328(1), pages 35-73, September.

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