Green Closed-Loop Supply Chain Network under the COVID-19 Pandemic
Lily Poursoltan,
Seyed-Mohammad Seyed-Hosseini and
Armin Jabbarzadeh
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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
Sustainability, 2021, vol. 13, issue 16, 1-13
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.
Keywords: closed-loop supply chain; stochastic programming; ventilator logistics; COVID-19 pandemic (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:16:p:9407-:d:619179
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