2023
DOI: 10.1016/j.eswa.2022.119009
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Designing an optimization model for the vaccine supply chain during the COVID-19 pandemic

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Cited by 41 publications
(19 citation statements)
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“…Given that vaccine supply chain risks during COVID-19 can lead to mortalities, Valizadeh et al [ 30 ] proposed a bi-level optimization model that considers both the risks associated with the vaccine supply chain and the monetary aspects of the system. The upper level of the model addresses the vaccine supply chain risks, while the lower level focuses on financial considerations.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Given that vaccine supply chain risks during COVID-19 can lead to mortalities, Valizadeh et al [ 30 ] proposed a bi-level optimization model that considers both the risks associated with the vaccine supply chain and the monetary aspects of the system. The upper level of the model addresses the vaccine supply chain risks, while the lower level focuses on financial considerations.…”
Section: Literature Reviewmentioning
confidence: 99%
“… Ilieva and Yankova (2022) made a ranking for COVID-19 vaccines with interval valued Fermatean fuzzy TOPSIS approach. Valizadeh et al (2023) proposed a mathematical supply chain model for vaccines. Yet, none of them involves comprehensive techniques such as the AHP-VIKOR hybrid approach or IT2FSs to describe the natural uncertainty and detailed data types to evaluate a currently existing problem type.…”
Section: Introductionmentioning
confidence: 99%
“…Many countries have adopted various prevention and control policies to control the increase of infected people, such as limiting traveling, maintaining social distance, and restricting large gatherings ( 15 ). In addition, many countries have introduced regulations that require isolation of infected individuals and quarantine of contacts ( 16 , 17 ). Existing studies suggest that isolating the source of infection is a beneficial measure to control the spread of the epidemic, but how to isolate it?…”
Section: Introductionmentioning
confidence: 99%