Data-driven modeling for designing a sustainable and efficient vaccine supply chain: A COVID-19 case study

Bahareh Kargar, Pedram MohajerAnsari, İ. Esra Büyüktahtakın, Hamed Jahani and Sri Talluri

Transportation Research Part E: Logistics and Transportation Review, 2024, vol. 184, issue C

Abstract: We present an agent-based simulation-optimization modeling framework to determine the optimal location of warehouses for the distribution of vaccines. We first extend an agent-based epidemiological simulation model of COVID-19 to capture disease transmission and forecast the number of susceptible individuals and infections. We then develop a sustainable VSC considering the impact of greenhouse gases and integrate the simulation model into the VSC model to minimize total costs and environmental impacts. We validate our proposed model using a real-world COVID-19 VSC in the US. Our findings underscore the importance of strategically managing vaccine supplies to control COVID-19 and other infectious outbreaks.

Keywords: Agent-based simulation; Supply chain; Vaccine distribution; Sustainability; Epidemiological modeling; COVID-19 pandemic (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.tre.2024.103494

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