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Redesign of a sustainable and resilient closed-loop supply chain network under uncertainty and disruption caused by sanctions and COVID-19

Author

Listed:
  • Ataman Nikian

    (Yazd University)

  • Hassan Khademi Zare

    (Yazd University)

  • Mohammad Mehdi Lotfi

    (Yazd University)

  • Mohammad Saber Fallah Nezhad

    (Yazd University)

Abstract

Due to the increased levels of uncertainty in the world today and the expansion of supply chain boundaries, companies have been observed trying to enhance supply chain resilience to deal with disruptions caused by severe disasters. There is, however, a new stimulus for the disorder, something quite similar to what has been witnessed recently. It is a new phenomenon called pandemics such as SARS, Ebola, and Coronaviruses. On the other hand, as a result of the imposition of economic sanctions, there is uncertainty in the decision-making parameters of the supply chains, creating difficulties for them. Iron is a raw material that affects both the industry and economy of a nation and can be turned into a closed-loop network. In the current research, using a multi-objective mathematical model, a closed-loop supply chain of steel is presented under the circumstances of the COVID-19 embargo and pandemic. Existing uncertainties are modelled with a robust optimization approach in an uncertain environment. As part of the analysis, appropriate strategies to increase chain resilience will be identified and evaluated. A case study of an active steel supply chain in Iran has been examined for model validation. This model optimizes final net profit, water, and energy use, emissions, and control of coronavirus emissions. In the present study, a three-objective mathematical model is determined and solved in small dimensions based on modified LP-metric and ε-constraint approaches. Further, based on MOPSO and NSGA-II meta-heuristic methods, the best solution was selected in large dimensions.

Suggested Citation

  • Ataman Nikian & Hassan Khademi Zare & Mohammad Mehdi Lotfi & Mohammad Saber Fallah Nezhad, 2023. "Redesign of a sustainable and resilient closed-loop supply chain network under uncertainty and disruption caused by sanctions and COVID-19," Operations Management Research, Springer, vol. 16(2), pages 1019-1042, June.
  • Handle: RePEc:spr:opmare:v:16:y:2023:i:2:d:10.1007_s12063-022-00330-3
    DOI: 10.1007/s12063-022-00330-3
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    References listed on IDEAS

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    1. Zhou, Liying & Mao, Hongyi & Zhao, Taiyang & Wang, Valerie Lynette & Wang, Xiaodong & Zuo, Peng, 2022. "How B2B platform improves Buyers’ performance: Insights into platform’s substitution effect," Journal of Business Research, Elsevier, vol. 143(C), pages 72-80.
    2. Arash Azadegan & Kevin Dooley, 2021. "A Typology of Supply Network Resilience Strategies: Complex Collaborations in a Complex World," Journal of Supply Chain Management, Institute for Supply Management, vol. 57(1), pages 17-26, January.
    3. Aliakbar Hasani & Seyed Hessameddin Zegordi & Ehsan Nikbakhsh, 2015. "Robust closed-loop global supply chain network design under uncertainty: the case of the medical device industry," International Journal of Production Research, Taylor & Francis Journals, vol. 53(5), pages 1596-1624, March.
    4. Rameshwar Dubey & Angappa Gunasekaran & Stephen J. Childe & Samuel Fosso Wamba & David Roubaud & Cyril Foropon, 2021. "Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience," International Journal of Production Research, Taylor & Francis Journals, vol. 59(1), pages 110-128, January.
    5. Alok Baveja & Ajai Kapoor & Benjamin Melamed, 2020. "Stopping Covid-19: A pandemic-management service value chain approach," Annals of Operations Research, Springer, vol. 289(2), pages 173-184, June.
    6. Mohammed Alkahtani & Muhammad Omair & Qazi Salman Khalid & Ghulam Hussain & Imran Ahmad & Catalin Pruncu, 2021. "A COVID-19 Supply Chain Management Strategy Based on Variable Production under Uncertain Environment Conditions," IJERPH, MDPI, vol. 18(4), pages 1-23, February.
    7. Büyüktahtakın, İ. Esra & des-Bordes, Emmanuel & Kıbış, Eyyüb Y., 2018. "A new epidemics–logistics model: Insights into controlling the Ebola virus disease in West Africa," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1046-1063.
    8. Yu, Zhang & Khan, Syed Abdul Rehman & Ponce, Pablo & Lopes de Sousa Jabbour, Ana Beatriz & Chiappetta Jabbour, Charbel Jose, 2022. "Factors affecting carbon emissions in emerging economies in the context of a green recovery: Implications for sustainable development goals," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    9. Mirzapour Al-e-hashem, S.M.J. & Malekly, H. & Aryanezhad, M.B., 2011. "A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty," International Journal of Production Economics, Elsevier, vol. 134(1), pages 28-42, November.
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