需求不确定下应急医疗服务站鲁棒配置模型与算法
发布时间:2018-02-15 10:16
本文关键词: 应急医疗服务 设施选址 鲁棒优化 不确定需求集合 鲁棒等价 出处:《运筹与管理》2017年09期 论文类型:期刊论文
【摘要】:大型突发事件发生后需要快速启动应急救灾网络,合理配置应急医疗服务站。本文考虑各应急医疗服务站选址节点需求的不确定性,引入三个不确定水平参数,构建四类不确定需求集合(box,ellipsoid,polyhedron和interval-polyhedron)对应的应急医疗服务站鲁棒配置模型,运用分支-切割算法求解,最后,进行需求扰动比例的灵敏度分析。算例结果表明,四类不确定需求集下的鲁棒配置模型中,ellipsoid不确定需求集合配置模型开放设施较少,总成本最小,鲁棒性较好。决策者还可以根据风险偏好选择不确定水平和需求扰动比例的组合,以使得总成本最小。
[Abstract]:The emergency relief network needs to be started quickly after a large emergency event, and the emergency medical service station should be allocated reasonably. Considering the uncertainty of the node demand of each emergency medical service station, three uncertain level parameters are introduced in this paper. The robust configuration model of emergency medical service station corresponding to four kinds of uncertain demand sets, namely boxbox lipsoid polyhedron and interval-polyhedrony), is constructed. The solution is solved by branch-cutting algorithm. Finally, sensitivity analysis of demand disturbance ratio is carried out. Among the four kinds of robust configuration models based on uncertain demand sets, the Ellipsoid uncertain demand set configuration model has less open facilities and minimum total cost. The decision makers can also choose the combination of uncertainty level and demand disturbance ratio according to risk preference to minimize the total cost.
【作者单位】: 北京理工大学管理与经济学院;
【基金】:国家自然科学基金资助项目(71432002,71172172,71272058)
【分类号】:O224
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本文编号:1513034
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