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作 者:宋英华[1,2,3] 宁晶婧 吕伟 杜丽敬[1,2,3] SONG Yinghua;NING Jingjing;LYU Wei;DU Lijing(China Research Center for Emergency Management, Wuhan University of Technology, Wuhan Hubei 430070, China;Hubei Collaborative Innovation Center for Early Warning and Emergency Response Technology, Wuhan Hubei 430070, China;School of Management, Wuhan University of Technology, Wuhan Hubei 430070, China)
机构地区:[1]武汉理工大学中国应急管理研究中心,湖北武汉430070 [2]安全预警与应急联动技术湖北省协同创新中心,湖北武汉430070 [3]武汉理工大学管理学院,湖北武汉430070
出 处:《中国安全科学学报》2018年第3期173-178,共6页China Safety Science Journal
基 金:国家重点研发计划项目(2016YFC0802500);国家自然科学基金资助(51604204);国家社会科学基金资助(16CTQ022);中央高校基本科研业务费专项资金(2017IVB040,2016VI003)
摘 要:针对震后初期灾区应急物资严重短缺的现实情况,为满足多主体的不同应急需求,基于公平与效率兼顾的视角,构建满意度最大、总成本最小、人员损失最小的多周期、多目标、多物资的公私物流资源整合的双层动态选址-分配(LAP)模型,上层以商品满足率最大为目标,下层以时间满足率最大为目标;设计遗传算法进行优化求解;最后以汶川地震为例,验证模型和算法的有效性。结果表明:所建模型可以实现震后初期公私物流协同作用下的多物资动态LAP决策,而且兼顾公平和效率。In view of the severe shortage of emergency materials in the disaster area in the aftermath of earthquake and on the basis of perspective of fairness and efficiency,the paper constructed a two-layer dynamic LAP model that integrated multi-period,multi-objective and multi-material logistics resources with the greatest satisfaction,the lowest total cost,and the least personnel loss,so as to meet the different emergency needs of multiple subjects. The upper level of the model was aimed to maximize the satisfaction rate of commodities,while the lower level was aimed to maximize the time satisfaction rate. Then,a genetic algorithm was designed to solve the optimization problem. Finally,taking Wenchuan earthquake as an example,the model and the algorithm were verified. The result indicates that the model can be used to realize multi-material dynamic LAP decision-making under the coordination of public and private logistics in the aftermath earthquake,taking into account fairness and efficiency.
关 键 词:应急物流 选址-分配(LAP) 公私协同 多周期 公平与效率
分 类 号:X913.4[环境科学与工程—安全科学]
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