相关实验视频
Updated: Jul 26, 2025

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Remote Laboratory Management: Respiratory Virus Diagnostics
Published on: April 6, 2019
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在飞行中的流行病传播风险下,为航空公司的综合恢复提供一个分布强大的优化方法
Yifan Xu1,2, Sebastian Wandelt1,2, Xiaoqian Sun1,2
1School of Electronic and Information Engineering, Beihang University, 100191, Beijing, China.
概括
这项研究引入了一种航空公司恢复模式,以减轻在航班期间流行病的传播. 该模型可以减少45%的感染,同时对飞行时间表的影响最小.
科学领域:
- 航空管理 航空管理
- 流行病学 流行病学
- 运营研究 运营研究
背景情况:
- COVID-19大流行严重扰乱了航空业,突出了强有力的干扰管理策略的需要.
- 流行病爆发对航空业务构成重大风险,需要采取积极措施防止飞行中的传播.
研究的目的:
- 开发一种新型的综合航空公司恢复模式,以应对飞行中的流行病传播风险.
- 优化飞机,机组人员和乘客的时间表,以尽量减少流行病的传播和降低运营成本.
主要方法:
- 使用瓦斯斯坦以距离为基础的模糊性集来处理传输速率不确定性的分布性强大的优化模型的制定.
- 基于流行病传播网络的分支和切割解决方案方法和大型社区搜索启发式的开发.
主要成果:
- 拟议的模型将预期的感染机组人员和乘客数量减少了45%.
- 该模型在航班取消或航班延误率增加不到4%的情况下实现了这一降低.
- 提供了对关键参数选择及其与其他干扰相互作用的见解.
结论:
- 综合模型有效地提高了航空公司在公共卫生危机期间的干扰管理能力.
- 该方法平衡了最小化经济损失的需要和控制航空流行病传播的必要性.
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