化学工业园区的多目标应急资源安排优化研究
Yuhang Wang1,2, Mingguang Zhang1,2, Jun Lu1,2
1College of Safety Science and Engineering, Nanjing Tech University, Nanjing, Jiangsu, China.
PloS one
|September 30, 2025
概括
这项研究通过平衡时间,覆盖范围和公平性来优化化工园事故的应急资源安排. 改进的NSGA-II算法有效地找到最佳解决方案,对于动态多危险场景至关重要.
科学领域:
- 运营研究 运营研究
- 化学工程是化学工程的重要组成部分.
- 应急管理 应急管理
背景情况:
- 化工园区由于危险来源而存在连锁事故的风险.
- 现有的紧急资源安排缺乏适应动态情景和公平量化的适应性.
- 为了高效的紧急资源调度,需要动态的合作优化.
研究的目的:
- 为动态应急资源安排制定一个三目标模型.
- 将时间效率,需求覆盖率和分配公平性作为优化目标.
- 使用新余额指数量化公平性作为一个独立的目标.
主要方法:
- 构建了一个三目标混合整数规划模型.
- 提出了一个基于标准偏差的动态资源分配平衡指数.
- 采用了改进的非主导排序遗传算法II (NSGA-II) 进行帕雷托前端优化.
- 利用了多仓库协作和多资源合约束.
主要成果:
- 与加权方法和MOGWO相比,改进的NSGA-II算法显示出更高的融合,多样性和稳定性.
- 案例研究表明,需求满足和运输时间之间存在权衡.
- 实现最佳的公平性可能会降低整体需求满意度.
- 资源需求显著影响可行的解决方案的数量.
结论:
- 公平是紧急安排决策的关键,不可替代的因素.
- 拟议的模型和算法有效地解决了动态的多危险场景.
- 决策者可以根据损失耐受性和复合分数选择最佳解决方案.
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