Interventions in demand and supply sides for vaccine supply chain: An analysis on monkeypox vaccine

IF 3.7 4区 管理学 Q2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Hamid R. Sayarshad
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引用次数: 3

Abstract

After a pandemic, all countries experience a shortage in vaccine supply due to limited vaccine stocks and production capacity globally. One particular problem is that it is hard to predict demands for vaccines during the global crisis. On the other hand, vaccines are usually made and packaged in different places, raising logistical issues and concerns that can further delay distribution. In this paper, we propose an optimization formulation model to link infectious disease dynamics and supply chain networks considering a one-to-one relationship between demand and supply for vaccines. We focus on designing a vaccine coordination system using government subsidy that considers the equilibrium behaviors of manufacturers under an actual demand for the vaccine. This study evaluates vaccine manufacturers and government behaviors that help the vaccine market to reach the socially optimal. Different decisions, such as vaccine demands and vaccine production and distribution are investigated. A study of the monkeypox pandemic in the U.S. is performed to validate our model and its results. The obtained results from testing the proposed system problem revealed that the vaccine coverage increased by up to 35%, while the unmet demand reduced by up to 60%, in comparison to when vaccine manufacturers act individually.

疫苗供应链供需双方干预措施:对猴痘疫苗的分析
在大流行之后,由于全球疫苗库存和生产能力有限,所有国家都经历了疫苗供应短缺。一个特别的问题是,很难预测全球危机期间对疫苗的需求。另一方面,疫苗通常在不同的地方制造和包装,这引发了物流问题和担忧,可能会进一步推迟分发。在本文中,考虑到疫苗的需求和供应之间的一对一关系,我们提出了一个连接传染病动力学和供应链网络的优化配方模型。我们重点设计了一个使用政府补贴的疫苗协调系统,该系统考虑了制造商在疫苗实际需求下的均衡行为。本研究评估了疫苗制造商和政府帮助疫苗市场达到社会最优的行为。调查了不同的决策,如疫苗需求、疫苗生产和分发。对美国猴痘疫情进行了一项研究,以验证我们的模型及其结果。对拟议系统问题的测试结果显示,与疫苗制造商单独行动相比,疫苗覆盖率增加了35%,而未满足的需求减少了60%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Operations Research Perspectives
Operations Research Perspectives Mathematics-Statistics and Probability
CiteScore
6.40
自引率
0.00%
发文量
36
审稿时长
27 days
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