辽宁工程技术大学学报（自然科学版）Issue(7)：998-1003,6.DOI:10.3969/j.issn.1008-0562.2013.07.028
不确定需求下应急物流系统多目标鲁棒优化模型
Multi-objective robust optimization model of emergency logistics system under demand uncertainty
摘要
Abstract
Due to the limited carrying capacity of emergency logistics system and uncertain demand in preliminary stage of emergency rescue, this paper utilized relative robust optimization to establish a multi-objective mathematical model based on optimal time and cost. The results show that the mathematical model gives the solution to the reasonable location-routing scheme of emergency supplies under demand uncertainty. By an example, the relative robust optimization is compared with the absolute robust optimization, and multi-objective model is compared with single-objective model. The multi-objective mathematical mode is able to achieve the trade-off between optimality and robustness of location-routing scheme of emergency supplies under demand uncertainty, and it is effective in guaranteeing the robustness of emergency logistics decision in emergency.关键词
应急物流系统/绝对鲁棒优化/相对鲁棒优化/多目标模型/选址-路径/不确定性/扰动系数/Lingo10.0Key words
emergency logistics system/absolute robust optimization/relative robust optimization/multi-objective model/location-routing/uncertainty/disturbance coefficient/Lingo10.0分类
数理科学引用本文复制引用
何珊珊,朱文海,任晴晴..不确定需求下应急物流系统多目标鲁棒优化模型[J].辽宁工程技术大学学报（自然科学版）,2013,(7):998-1003,6.基金项目
中央高校基本科研业务费专项资金（青年教师资助计划）资助项目 （）
