Blood plasma supply chain planning to respond COVID-19 pandemic: a case study
Ali Fallahi,
Seyed Alireza Mousavian Anaraki,
Hadi Mokhtari () and
Seyed Taghi Akhavan Niaki
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Ali Fallahi: Sharif University of Technology
Seyed Alireza Mousavian Anaraki: Iran University of Science and Technology
Hadi Mokhtari: University of Kashan
Seyed Taghi Akhavan Niaki: Sharif University of Technology
Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2024, vol. 26, issue 1, No 80, 1965-2016
Abstract:
Abstract The COVID-19 pandemic causes a severe threat to human lives worldwide. Convalescent plasma as supportive care for COVID-19 is critical in reducing the death rate and staying in hospitals. Designing an efficient supply chain network capable of managing convalescent plasma in this situation seems necessary. Although many researchers investigated supply chains of blood products, no research was conducted on the planning of convalescent plasma in the supply chain framework with specific features of COVID-19. This gap is covered in the current work by simultaneous regular and convalescent plasma flow in a supply chain network. Besides, due to the growing importance of environmental problems, the resulting carbon emission from transportation activities is viewed to provide a green network. In other words, this study aims to plan the integrated green supply chain network of regular and convalescent plasma in the pandemic outbreak of COVID-19 for the first time. The presented mixed-integer multi-objective optimization model determines optimal network decisions while minimizing the total cost and total carbon emission. The Epsilon constraint method is used to handle the considered objectives. The model is applied to a real case study from the capital of Iran. Sensitivity analyses are carried out, and managerial insights are drawn. Based on the obtained results, product demand impacts the objective functions significantly. Moreover, the systems' total carbon emission is highly dependent on the flow of regular plasma. The results also reveal that changing transportation emission unit causes significant variation in the total emission while the total cost remains fixed.
Keywords: Logistics; COVID-19 pandemic; Blood supply chain network; Sustainable location-allocation analysis (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10668-022-02793-7
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