运筹与管理2017，Vol.26Issue(9)：21-28,8.DOI:10.12005/orms.2017.0206
需求不确定下应急医疗服务站鲁棒配置模型与算法
Emergency Medical Service Station Robust Location Model and Algorithm Under Demand Uncertainty
摘要
Abstract
After large-scale emergent incidents,it is particularly urgent to start emergency relief network quickly and locate the emergency medical service stations.We incorporate demand uncertainty,introduce three uncertain level parameters,construct four types of demand uncertainty sets,and propose robust EMSS location models respectively.Then,we derive their tractable robust counterparts,and employ branch-cut algorithm to solve the problems..Finally,we present computational results,and perform sensitivity analysis.Numerical results show that,among four robust location models,robust EMSS location model with ellipsoid uncertainty set opens fewer EMSSs,and the total cost is smaller.According to the uncertainty of risk preference,decision-makers usually choose optimal budget uncertainty and demand disturbance proportion,so as to minimize the total cost.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Key words
emergency medical service/facility location/robust optimization/demand uncertainty sets/robust counterpart分类
数理科学引用本文复制引用
彭春,李金林,冉伦,王珊珊..需求不确定下应急医疗服务站鲁棒配置模型与算法[J].运筹与管理,2017,26(9):21-28,8.基金项目
国家自然科学基金资助项目(71432002,71172172,71272058) （71432002,71172172,71272058）
