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Sustainable and reliable closed-loop supply chain network design during pandemic outbreaks and disruptions

Author

Listed:
  • Milad Mohammadi

    (University of Isfahan)

  • Alibakhsh Nikzad

    (Humboldt University of Berlin)

Abstract

This paper aims to design a mathematical model for sustainable closed-loop supply chains during the coronavirus (COVID-19) outbreak. The proposed multi-objective model minimizes the total cost, carbon emission, and infection risk of the network and also maximizes social benefits. Some practical conditions such as stochastic demands, supplier selection, and facility disruptions are considered in the model. This stochastic model is transformed into a deterministic model by the Chance-Constrained Programming (CCP) approach. Thirty test datasets are applied to examine the effects of COVID-19 on the performance of the network. The problems are solved under two conditions (with and without COVID-19 considerations), and the results show that the total inventory of the model with COVID-19 is higher than the model without COVID-19. Moreover, the value of aggregated objectives of the model with COVID-19 is greater than the other model which indicates the greater distance from the optimal objectives. However, the computational efficiency of the model without COVID-19 is much higher than the other one. Some sensitivity analyses are also carried out, and several policy implications are proposed. According to the demand sensitivity analysis, when managers expect that the demands will increase, they should focus on the infection risk objective. On the contrary, when they expect decreased demands, they should pay more attention to environmental and economic objectives. The analysis of the objectives’ weights indicates that investing in the environmental and COVID-19 risk dimensions needs more financial resources compared to investing in the social dimension.

Suggested Citation

  • Milad Mohammadi & Alibakhsh Nikzad, 2023. "Sustainable and reliable closed-loop supply chain network design during pandemic outbreaks and disruptions," Operations Management Research, Springer, vol. 16(2), pages 969-991, June.
    • Handle: RePEc:spr:opmare:v:16:y:2023:i:2:d:10.1007_s12063-022-00312-5
    DOI: 10.1007/s12063-022-00312-5
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    References listed on IDEAS

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    1. Moons, Karen & Waeyenbergh, Geert & Pintelon, Liliane, 2019. "Measuring the logistics performance of internal hospital supply chains – A literature study," Omega, Elsevier, vol. 82(C), pages 205-217.
    2. Waltho, Cynthia & Elhedhli, Samir & Gzara, Fatma, 2019. "Green supply chain network design: A review focused on policy adoption and emission quantification," International Journal of Production Economics, Elsevier, vol. 208(C), pages 305-318.
    3. Polo, Andrés & Peña, Numar & Muñoz, Dairo & Cañón, Adrián & Escobar, John Willmer, 2019. "Robust design of a closed-loop supply chain under uncertainty conditions integrating financial criteria," Omega, Elsevier, vol. 88(C), pages 110-132.
    4. Lian Qi & Zuo-Jun Max Shen & Lawrence V. Snyder, 2010. "The Effect of Supply Disruptions on Supply Chain Design Decisions," Transportation Science, INFORMS, vol. 44(2), pages 274-289, May.
    5. Mohammadi, Mehrdad & Jula, Payman & Tavakkoli-Moghaddam, Reza, 2017. "Design of a reliable multi-modal multi-commodity model for hazardous materials transportation under uncertainty," European Journal of Operational Research, Elsevier, vol. 257(3), pages 792-809.
    6. Ming Liu & Jie Cao & Jing Liang & MingJun Chen, 2020. "Epidemic-logistics Modeling: A New Perspective on Operations Research," Springer Books, Springer, number 978-981-13-9353-2, January.
    7. Manish Verma & Vedat Verter & Michel Gendreau, 2011. "A Tactical Planning Model for Railroad Transportation of Dangerous Goods," Transportation Science, INFORMS, vol. 45(2), pages 163-174, May.
    8. Brian Tomlin, 2006. "On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks," Management Science, INFORMS, vol. 52(5), pages 639-657, May.
    9. Chen, Junlin & Zhao, Xiaobo & Zhou, Yun, 2012. "A periodic-review inventory system with a capacitated backup supplier for mitigating supply disruptions," European Journal of Operational Research, Elsevier, vol. 219(2), pages 312-323.
    10. Xu, Xiaoping & He, Ping & Xu, Hao & Zhang, Quanpeng, 2017. "Supply chain coordination with green technology under cap-and-trade regulation," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 433-442.
    11. 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.
    12. Yu-Chung Tsao & Vu-Thuy Linh & Jye-Chyi Lu & Vincent Yu, 2018. "A supply chain network with product remanufacturing and carbon emission considerations: a two-phase design," Journal of Intelligent Manufacturing, Springer, vol. 29(3), pages 693-705, March.
    13. Alikhani, Reza & Torabi, S.Ali & Altay, Nezih, 2021. "Retail supply chain network design with concurrent resilience capabilities," International Journal of Production Economics, Elsevier, vol. 234(C).
    14. Saedi, Samira & Kundakcioglu, O. Erhun & Henry, Andrea C., 2016. "Mitigating the impact of drug shortages for a healthcare facility: An inventory management approach," European Journal of Operational Research, Elsevier, vol. 251(1), pages 107-123.
    15. Hao Yu & Xu Sun & Wei Deng Solvang & Xu Zhao, 2020. "Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)," IJERPH, MDPI, vol. 17(5), pages 1-25, March.
    16. A. Charnes & W. W. Cooper & G. H. Symonds, 1958. "Cost Horizons and Certainty Equivalents: An Approach to Stochastic Programming of Heating Oil," Management Science, INFORMS, vol. 4(3), pages 235-263, April.
    17. Reza Alikhani & S.Ali Torabi & Nezih Altay, 2021. "Retail supply chain network design with concurrent resilience capabilities," Post-Print hal-03539192, HAL.
    18. Nagurney, Anna, 2021. "Supply chain game theory network modeling under labor constraints: Applications to the Covid-19 pandemic," European Journal of Operational Research, Elsevier, vol. 293(3), pages 880-891.
    19. Vahdani, Behnam & Mohammadi, M., 2015. "A bi-objective interval-stochastic robust optimization model for designing closed loop supply chain network with multi-priority queuing system," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 67-87.
    20. Nayeri, Sina & Sazvar, Zeinab & Heydari, Jafar, 2022. "A global-responsive supply chain considering sustainability and resiliency: Application in the medical devices industry," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    21. Lawrence V. Snyder & Zümbül Atan & Peng Peng & Ying Rong & Amanda J. Schmitt & Burcu Sinsoysal, 2016. "OR/MS models for supply chain disruptions: a review," IISE Transactions, Taylor & Francis Journals, vol. 48(2), pages 89-109, February.
    22. Weskamp, Christoph & Koberstein, Achim & Schwartz, Frank & Suhl, Leena & Voß, Stefan, 2019. "A two-stage stochastic programming approach for identifying optimal postponement strategies in supply chains with uncertain demand," Omega, Elsevier, vol. 83(C), pages 123-138.
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