在混合不确定性下,一个集成的区块链支持的多道疫苗供应链网络
Mahdyeh Shiri1, Parviz Fattahi2, Fatemeh Sogandi3
1Department of Industrial Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran. m.shiri@alzahra.ac.ir.
Scientific reports
|October 1, 2024
概括
这项研究提出了一种用于优化COVID-19疫苗分发网络的新型数学模型. 该模型将成本降至最低,并最大限度地提高透明度,有效地管理供应链的不确定性,以便有效地分配疫苗.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 公共卫生 公共卫生
背景情况:
- COVID-19大流行凸显了全球疫苗供应链的关键漏洞.
- 疫苗的有限可用性需要有效的分发和优先级策略.
- 供应链的不确定性,包括参数变化和价格波动,使规划复杂化.
研究的目的:
- 开发一个数学模型来设计一个优化的COVID-19疫苗供应链网络.
- 使用区块链技术最大限度地提高透明度,同时最大限度地降低总成本.
- 解决和管理疫苗供应,价格和质量的不确定性.
主要方法:
- 一个多道网络设计,结合区块链来提高透明度.
- 基于场景的多阶段随机编程,以处理多期规划的不确定性.
- 模糊的编程来管理不确定的疫苗价格和质量.
- 根据年龄和人口优先政策进行疫苗分配.
主要成果:
- 拟议的模型有效地确定了伊朗COVID-19疫苗供应链的最佳设计.
- 与替代模型相比,多阶段随机编程显著降低了目标函数值.
- 疫苗价格和协议被确定为影响满足需求和减少短缺的关键因素.
结论:
- 开发的模型为设计弹性和高效的疫苗供应链提供了一个强大的框架.
- 整合区块链技术提高了疫苗分发的透明度和信任.
- 有效地管理不确定性和制定战略优先级对于成功推出疫苗至关重要.
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