设计具有可持续复原能力的综合混配疫苗供应链网络

IF 4.4 3区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Ali Jahed, Seyyed Mohammad Hadji Molana, Reza Tavakkoli-Moghaddam, Vahideh Valizadeh
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引用次数: 0

摘要

接种疫苗是对抗传染病、切断疾病传播链和实现群体免疫的最有效策略。要实现全民疫苗接种,需要一个综合的疫苗供应链网络,并考虑到网络的可持续性和弹性。为此,本研究设计了一个可持续的弹性疫苗供应链网络中的位置-分配-库存-分配问题,其中考虑了针对 SARS-CoV-2 的混合匹配疫苗方案。应用基于混合和匹配的疫苗接种来实现稳健的免疫接种,提高疫苗接种效果,并增强应对短缺的复原力。此外,还开发了三大可持续发展支柱,即从经济和环境角度最大限度地降低分销网络成本、疫苗处置影响和温室气体排放,以及最大限度地创造就业机会、满足需求和提高疫苗接种效果,以确保社会可持续发展。此外,还提出了基于情景的优化方法,以应对不可避免的中断和故障,如供应商的供应能力和不确定的疫苗需求量(取决于先前注射的疫苗类型),并使用稳健随机编程来处理不确定性。为了解决所提出的模型,应用了高效的元启发式算法,包括遗传算法(GA)和可变邻域搜索(VNS)。此外,本研究还在遗传算法和变量邻域搜索的基础上开发了一种名为 H-GAVNS 的新型混合算法,以发现接近最优的结果。最后,介绍了伊朗环境中 COVID-19 疫苗的案例研究,以证实所介绍模型的准确性。研究结果表明,所设计的模型能够很好地管理和应对现实世界中的不确定性以及可持续性和弹性方面的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Designing an integrated sustainable-resilient mix-and-match vaccine supply chain network

Designing an integrated sustainable-resilient mix-and-match vaccine supply chain network

Vaccination is the most effective strategy for battling infectious diseases, breaking the disease transmission chain, and achieving herd immunity. Implementing vaccination for the whole population requires an integrated vaccine supply chain network that considers sustainability and resiliency in the network. For this purpose, in this research, a location-allocation-inventory-distribution problem in the sustainable and resilient vaccine supply chain network, considering mix-and-match vaccine regimens against SARS-CoV-2, is designed. The mix-and-match-based vaccination to reach robust immunization, increase vaccination effectiveness, and more resilience to cope with shortages is applied. In addition, three pillars of sustainability, to minimize distribution network costs, vaccine disposal impact, and greenhouse gas emissions, in terms of economic and environmental, and maximizing job creation, demand satisfaction, and vaccination effectiveness to ensure social sustainability, are developed. Also, scenario-based optimization is presented to meet the inevitable disruptions and breakdowns, such as the supply capacity of suppliers and uncertain amounts of vaccine demand, which depends on the previous type of vaccine injected, and robust stochastic programming is used to handle uncertainties. To solve the proposed model, efficient meta-heuristic algorithms, including the genetic algorithm (GA) and variable neighborhood search (VNS), are applied. In addition, a new hybrid algorithm called H-GAVNS based on the GA and VNS is developed in this research to discover near-optimal results. Finally, a case study of the COVID-19 vaccine in Iran’s environment is presented to confirm the accuracy of the presented model. The outcomes show that uncertainties in the real world and sustainability and resiliency aspects are well managed and responded to by the designed model.

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来源期刊
Annals of Operations Research
Annals of Operations Research 管理科学-运筹学与管理科学
CiteScore
7.90
自引率
16.70%
发文量
596
审稿时长
8.4 months
期刊介绍: The Annals of Operations Research publishes peer-reviewed original articles dealing with key aspects of operations research, including theory, practice, and computation. The journal publishes full-length research articles, short notes, expositions and surveys, reports on computational studies, and case studies that present new and innovative practical applications. In addition to regular issues, the journal publishes periodic special volumes that focus on defined fields of operations research, ranging from the highly theoretical to the algorithmic and the applied. These volumes have one or more Guest Editors who are responsible for collecting the papers and overseeing the refereeing process.
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