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Optimization Modeling for Pandemic Vaccine Supply Chain Management: A Review and Future Research Opportunities
Shibshankar Dey1,2, Ali Kaan Kurbanzade1,2, Esma S Gel3
1Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL, USA.
Naval Research Logistics
|September 23, 2024
Summary
This study reviews optimization models for COVID-19 vaccine distribution, covering site selection, inventory, and logistics. It offers a framework for future pandemic preparedness and identifies research gaps.
Area of Science:
- Operations Research
- Public Health
- Epidemiology
Background:
- COVID-19 pandemic necessitated diverse vaccine management strategies globally.
- Variations in infrastructure and socio-economic factors influenced country-specific approaches.
- Optimization models emerged as crucial tools for effective vaccine distribution.
Purpose of the Study:
- To provide a comprehensive overview of optimization models for vaccine distribution during the COVID-19 pandemic.
- To establish a standardized framework for future pandemic preparedness using insights from COVID-19 vaccine management.
- To analyze critical issues in vaccine logistics, including site selection, inventory, allocation, and distribution.
Main Methods:
- Systematic review and synthesis of optimization models developed during the COVID-19 era.
- Application of a unified framework to categorize and describe various models.
- Integration analysis with epidemiological models for a holistic perspective.
Main Results:
- Identified key optimization challenges in vaccine distribution: site selection, inventory management, allocation, logistics, and route optimization.
- Highlighted the importance of integrating operations research models with epidemiological forecasting.
- Summarized the evolving literature, research gaps, and perspectives on model selection.
Conclusions:
- Optimization models are vital for efficient vaccine distribution and pandemic preparedness.
- A unified framework aids in understanding and applying these models.
- Future research should focus on refining modeling approaches and solutions for enhanced public health responses.
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