运筹与管理Issue(6)：45-51,7.
随机需求应急物流多阶段定位-路径鲁棒优化研究
Robust Optimization for Multi-Stage Location-Routing Problem with Stochastic Demand Under Emergency Logistics
摘要
Abstract
To improve the response capability of emergency logistics system , a stochastic demand location-routing problem in emergency logistics system is studied .Relief commodities requirements of demand points are presen-ted by intervals based on robust optimization and emergency relief procedures are divided into multi -stages, then the model of emergency location-routing problem with multi-materials multi-vehicles is developed to minimize the total system costs and total transportation time .An improved genetic algorithm is proposed to solve the model . The results show that the model and algorithm are effective for resolving the location-routing problem with stochastic demand in emergency logistics system , and it can provide scientific decision-making for government responding to major emergencies .关键词
应急物流/鲁棒优化/遗传算法/定位-路径问题Key words
emergency logistics/robust optimization/genetic algorithm/location-routing problem分类
管理科学引用本文复制引用
孙华丽,王循庆,薛耀锋..随机需求应急物流多阶段定位-路径鲁棒优化研究[J].运筹与管理,2013,(6):45-51,7.基金项目
国家自然科学基金资助项目（71203134）；国家自然科学基金重大研究计划培育项目（91024002）；教育部人文社会科学研究项目 （）
