论文标题
对COVID-19危机的真实人道主义冷供应链规划的强大优化方法
A Robust Optimization Approach to a Real Humanitarian Cold Supply Chain Planning on the COVID-19 crisis
论文作者
论文摘要
在这项研究中，考虑到伊朗不确定条件下的人道主义方面，开发了疫苗供应链模型。有三个主要组成部分可以为疫苗接种中心提供所需的疫苗，这些疫苗可以在三个梯队内设计和管理：供应商，配送中心和疫苗接种中心。伊朗卫生与医疗部（IMHM），伊朗红新月会（IRCS）和私营部门公司在模型中扮演供应商的角色。采用强大的优化方法来解决现实世界中的不确定性，并找到解决所有不确定数据可能性和供应链权益的解决方案。为此，收集了伊朗的实际COVID-19数据，包括有关伊朗使用的五种不同类型的疫苗的数据。然后，研究如何通过考虑优先问题，运输，持有成本和剥夺成本来更有效地完成疫苗接种计划，这是伊朗最大的城市，也是全球人口最多的城市之一。接下来，进行了一组灵敏度分析，评估了不同问题实例的剥夺成本的变化以及分配给每个供应商的预算。这项研究的关键假设之一是将老年群体优先考虑接受疫苗的年龄较大群体。
In this study, a vaccine supply chain model is developed considering the humanitarian aspects under uncertain conditions in Iran. There are three main components to supply the required vaccines for vaccination centers that can be designed and managed within three echelons: suppliers, distribution centers, and vaccination centers. Iran's Ministry of Health and Medical (IMHM), Iranian Red Crescent Society (IRCS), and private sector companies play the role of suppliers in the model. A robust optimization approach is employed to address real-world uncertainty and find a solution dealing with all uncertain data possibilities and supply chain equity. To this aim, the actual COVID-19 data of Iran is gathered, including data on five different types of vaccines used in Iran. Then, it is investigated how vaccination programs can be accomplished more efficiently by considering priority issues, transportation, holding costs, and deprivation costs in Tehran, Iran's largest city and one of the most populous cities globally. Next, a set of sensitivity analyses are conducted, assessing the variation of deprivation costs for different problem instances and the budgets assigned to each supplier. One of the critical assumptions in this research is prioritizing older-aged groups over younger-aged ones into account for receiving the vaccine.
