优化一个两阶段的紧急物流系统,考虑地震灾难下的公众心理风险感知
Huawei Yang1, Pan Zhang2, Peiwen Zhang2
1School of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan, 030006, China. yanghuawei1990@163.com.
Scientific reports
|December 31, 2024
概括
本研究介绍了针对中国地震灾害的优化紧急物流框架. 增强的两阶段模型改善了资源分配,并优先考虑紧急供应分配,提高了救援效率.
科学领域:
- 灾害管理 灾害管理
- 运营研究 运营研究
- 物流和供应链管理的物流和供应链管理.
背景情况:
- 地震灾害需要有效的紧急供应部署.
- 当前的应急物流模式往往缺乏整合需求和时间满足.
- 优化资源配置对于有效应对灾害至关重要.
研究的目的:
- 开发一个综合的两阶段优化框架,用于地震灾害期间的紧急物流.
- 提高紧急供应分配和路线优化的效率和合理性.
- 优先分配给非常紧急的地区.
主要方法:
- 利用历史数据和地震监测进行需求预测.
- 使用修改后的前景理论,内置心理风险感知和紧迫性.
- 采用粒子集群优化 (PSO) 来增强用于模型解决的搜索算法 (SSA).
主要成果:
- 两阶段优化框架显著提高了救援效率和资源分配的合理性.
- 该模型成功地将紧急供应优先到紧急地区.
- 敏感性分析强调了确定最佳供应比例的重要性.
结论:
- 拟议的综合框架为优化灾害场景中的紧急物流提供了一种可靠的方法.
- 该PSO-SSA混合算法证明了卓越的运营效率.
- 有效的应急物流规划对于减轻地震灾害影响至关重要.
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