TY - JOUR
T1 - Optimization modeling for pandemic vaccine supply chain management
T2 - A review and future research opportunities
AU - Dey, Shibshankar
AU - Kurbanzade, Ali Kaan
AU - Gel, Esma S.
AU - Mihaljevic, Joseph
AU - Mehrotra, Sanjay
N1 - Publisher Copyright:
© 2024 The Authors. Naval Research Logistics published by Wiley Periodicals LLC.
PY - 2024/10
Y1 - 2024/10
N2 - During various stages of the COVID-19 pandemic, countries implemented diverse vaccine management approaches, influenced by variations in infrastructure and socio-economic conditions. This article provides a comprehensive overview of optimization models developed by the research community throughout the COVID-19 era, aimed at enhancing vaccine distribution and establishing a standardized framework for future pandemic preparedness. These models address critical issues such as site selection, inventory management, allocation strategies, distribution logistics, and route optimization encountered during the COVID-19 crisis. A unified framework is employed to describe the models, emphasizing their integration with epidemiological models to facilitate a holistic understanding. This article also summarizes evolving nature of literature, relevant research gaps, and authors' perspectives for model selection. Finally, future research scopes are detailed both in the context of modeling and solutions approaches.
AB - During various stages of the COVID-19 pandemic, countries implemented diverse vaccine management approaches, influenced by variations in infrastructure and socio-economic conditions. This article provides a comprehensive overview of optimization models developed by the research community throughout the COVID-19 era, aimed at enhancing vaccine distribution and establishing a standardized framework for future pandemic preparedness. These models address critical issues such as site selection, inventory management, allocation strategies, distribution logistics, and route optimization encountered during the COVID-19 crisis. A unified framework is employed to describe the models, emphasizing their integration with epidemiological models to facilitate a holistic understanding. This article also summarizes evolving nature of literature, relevant research gaps, and authors' perspectives for model selection. Finally, future research scopes are detailed both in the context of modeling and solutions approaches.
KW - COVID-19 vaccine management
KW - epidemiological modeling
KW - mathematical modeling
KW - review
UR - http://www.scopus.com/inward/record.url?scp=85191028437&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85191028437&partnerID=8YFLogxK
U2 - 10.1002/nav.22181
DO - 10.1002/nav.22181
M3 - Article
AN - SCOPUS:85191028437
SN - 0894-069X
VL - 71
SP - 976
EP - 1016
JO - Naval Research Logistics
JF - Naval Research Logistics
IS - 7
ER -