应急服务设施的两阶段强大的优化模型在需求不确定性和可持续发展下解决了位置分配问题
Hongyan Li1,2, Dongmei Yu3,4,5, Yiming Zhang1,2
1School of Business Administration, Liaoning Technical University, Huludao, 125105, People's Republic of China.
Scientific reports
|January 22, 2025
概括
这项研究优化了应急服务设施 (ESF) 布局和在需求不确定性下供应分配. 它使用强大的优化模型来最大限度地降低成本,提高灾难响应的及时性和可持续性.
科学领域:
- 运营研究 运营研究
- 灾害管理 灾害管理
- 环境科学 环境科学
背景情况:
- 有效的应急响应取决于最佳的应急服务设施 (ESF) 布局和资源分配.
- 经常发生的紧急情况需要强有力的预先规划,以解决不确定性并提高响应的及时性.
研究的目的:
- 在需求不确定性下,为紧急服务设施网络设计开发一个强大的优化模型.
- 为了全面的决策,整合准备,剥夺和环境影响成本.
主要方法:
- 制定一个具有一般化预算不确定性集的两阶段稳健优化模型.
- 使用列和约束生成 (C&CG) 算法来解决模型.
- 针对武汉COVID-19流行病的案例研究应用.
主要成果:
- 该模型有效地优化了ESF部署,紧急供应分配和可持续措施.
- 分析揭示了需求不确定性和环境成本对最佳解决方案的重大影响.
- C&CG算法在解决复杂的强大的优化问题方面表现出有效性.
结论:
- 强大的优化为增强应急响应系统提供了有价值的框架.
- 平衡经济和环境因素对于可持续的灾害管理至关重要.
- 拟议的模型为改善准备和应对策略提供了实际见解.
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