Dey Shibshankar, Kurbanzade Ali Kaan, Gel Esma S, Mihaljevic Joseph, Mehrotra Sanjay
Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL, USA.
Center for Engineering and Health, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA.
Nav Res Logist. 2024 Oct;71(7):976-1016. doi: 10.1002/nav.22181. Epub 2024 Apr 18.
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.
在新冠疫情的不同阶段,受基础设施和社会经济条件差异的影响,各国实施了多样的疫苗管理方法。本文全面概述了研究界在整个新冠疫情时代开发的优化模型,旨在加强疫苗分配,并为未来的疫情防范建立标准化框架。这些模型解决了新冠疫情危机期间遇到的关键问题,如选址、库存管理、分配策略、配送物流和路线优化等。采用了一个统一的框架来描述这些模型,强调它们与流行病学模型的整合,以促进全面理解。本文还总结了文献的演变性质、相关研究差距以及作者对模型选择的观点。最后,在建模和解决方案方法的背景下详细阐述了未来的研究范围。