Resilient COVID-19 vaccine supply chain: An optimization and simulation approach for multi-objective management

•Developed a multi-objective optimization-simulation model for resilient COVID-19 VSC.•Optimized VSC performance with realistic features using constrained MOGWO and NSGA-II.•Simulated disruption scenarios to enhance SC flexibility and vaccine distribution resilience.•Proposed strategies to optimize...

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Vydáno v:	Transportation research. Part E, Logistics and transportation review Ročník 201; s. 104168
Hlavní autoři:	Khalilpoor, Saeedeh, Kamran, Mehdi A., Solimanpur, Maghsud
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.09.2025
Témata:	COVID-19 vaccine supply chain Grey wolf optimizer Multi-objective mixed-integer programming Non-dominated sorting genetic algorithm Optimization-simulation Optimization-simulation Multi-objective mixed-integer programming COVID-19 vaccine supply chain Grey wolf optimizer Non-dominated sorting genetic algorithm
ISSN:	1366-5545
On-line přístup:	Získat plný text
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