风险应对视角下不确定需求定位-路径鲁棒优化研究

发布时间：2018-03-19 02:09

本文选题：应急救援系统　切入点：多目标规划　出处：《运筹与管理》2017年11期 　论文类型：期刊论文

【摘要】：及时准确地配送应急救援物资是突发公共事件救援过程中的关键环节,综合考虑应急救援过程中出现的需求随机性,路网的连通能力下降和设施点失灵等情况,采用车辆与直升机联合运输方式进行配送,以应急系统中各物资需求点的救援时间满意度之和最大、系统总成本最小及物资到达需求点的救援时间之和最小为目标,对多式联运三级网络应急物流系统定位—路径优化问题进行研究,建立了多目标定位—路径模型,并改进了遗传算法。最后,以汶川地震应急救援相关数据为例,对模型和算法的有效性进行了数据仿真验证,通过实验结果的对比分析,证明了鲁棒优化方法在处理不确定需求和设施失灵风险方面的有效性,进而为抵御突发公共事件发生后出现的风险,为解决突发公共事件发生后救援物资的安全及时准确配送提供了有效的方法。
[Abstract]:The timely and accurate distribution of emergency relief materials is a key link in the process of public emergency rescue, considering comprehensively the randomness of the needs in the emergency rescue process, the decline in the connectivity of the road network and the failure of the facilities, etc. The vehicle and helicopter combined transportation mode is adopted to distribute, aiming at the maximum sum of relief time satisfaction of each material demand point, the minimum total cost of the system and the minimum rescue time sum of the material reaching the demand point in the emergency system. This paper studies the problem of location-path optimization of multi-modal transportation three-level network emergency logistics system, establishes multi-objective location-path model, and improves genetic algorithm. Finally, taking the related data of Wenchuan earthquake emergency rescue as an example, The validity of the model and the algorithm is verified by data simulation, and the effectiveness of the robust optimization method in dealing with the uncertain demand and the risk of facility failure is proved by the comparison and analysis of the experimental results. Then, it provides an effective method to resist the risk after the public emergency and to solve the problem of the safe, timely and accurate distribution of the relief material after the public emergency.
【作者单位】：上海大学管理学院;华东师范大学教育信息技术学系;
【基金】：国家自然科学基金资助项目(71203134)
【分类号】：F224;F251

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