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

2021 ◽  
Vol 13 (16) ◽  
pp. 9407
Author(s):  
Lily Poursoltan ◽  
Seyed-Mohammad Seyed-Hosseini ◽  
Armin Jabbarzadeh

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.

2017 ◽  
Vol 16 (3) ◽  
pp. 342-362 ◽  
Author(s):  
Fathollahi Fard Amir Mohammad ◽  
Fatemeh Gholian-Jouybari ◽  
Mahdi Paydar Mohammad ◽  
Hajiaghaei-Keshteli Mostafa

2014 ◽  
Vol 5 (3) ◽  
pp. 27-46 ◽  
Author(s):  
Ehsan Yadegari ◽  
Mostafa Ekhtiari ◽  
Mostafa Zandieh ◽  
Akbar Alem-Tabriz

The concern about customer satisfaction and transportation cost in the business environment has spurred an interest in designing a flexible logistics network. This paper proposes a multi-delivery path closed-loop supply chain network to find not only the most cost efficient network design but also the best path to deliver the products to customers. To tackle with such an NP-hard problem an Artificial Immune Algorithm (AIA) is modified. To show the efficiency and accuracy of the proposed method numerical experiments are conducted. Consequently, the computational results validate the quality of the proposed approach by comparing them with those of obtained with exact methods.


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