巨灾救援链系统中的灾区聚类与排序问题研究——以汶川地震为例
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摘要
重大灾害发生时,如何在最短的时间内根据受灾情况进行物流规划是巨灾救援链管理研究所面临的难题之一。而根据受灾程度和物资需求属性进行准确的灾区分级与排序则是应急物流取得成功的重要前提。根据自组织神经网络方法建立了一个灾区聚类模型,并以汶川地震为例进行了仿真分析;采用TOPSIS多目标决策分析解决了各受灾区救援物资分配的优先级排序。
Logistics planning based on the disaster situation in the shortest time is one of the important problems in the disaster relief chain management.Accurate disaster area grading and sorting according to the demands property is an important prerequisite for the success of the emergency logistics.This paper,based on self-organizing neural network approach to establish a disaster area clustering model and simulation analysis of Wenchuan earthquake;Next,we use the TOPSIS multi-objective decision analysis to solve prioritize the distribution of relief supplies in all affected areas.This research provides an important analytical tool for emergency logistics planning.
Logistics planning based on the disaster situation in the shortest time is one of the important problems in the disaster relief chain management.Accurate disaster area grading and sorting according to the demands property is an important prerequisite for the success of the emergency logistics.This paper,based on self-organizing neural network approach to establish a disaster area clustering model and simulation analysis of Wenchuan earthquake;Next,we use the TOPSIS multi-objective decision analysis to solve prioritize the distribution of relief supplies in all affected areas.This research provides an important analytical tool for emergency logistics planning.
引文
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[17]周亚.多属性决策中的TOPSIS法研究[D].武汉:武汉理工大学,2009.
[18]王能.基于模糊线性规划和熵值法的虚拟企业任务分解风险评价研究[J].科技管理研究,2011(6):224-227.
[19]Zeleny M.Multiple criteria decision making[M].[S.l.]:McGraw-Hill,1982.
[2]Wassenhove L V.Humanitarian aid logistics:supply chain management in high gear[J].Journal of the Operational Research Society,2006,57(5):475-489.
[3]Beamon B M,Kotleba.Inventory modelling for complex emergencies in humanitarian relief operations[J].International Journal of Logistics:Research and a,2006,9(1):1-9.
[4]周阿颖,张朝,史培军,等.影响地震救灾效率的因素分析——以汶川8.0级地震和玉树7.1级地震为例[J].灾害学,2011,26(4):134-138.
[5]胡伟华,宋立军,苗崇刚,等.地震灾区分级和灾害程度排序方法研究——以汶川8.0级地震为例[J].灾害学,2010,25(2):30-35.
[6]郭强.灾区灾后救助目标定位的研究[J].中国减灾,2004(5):43-45.
[7]来红州.灾后救助紧急启动[J].中国减灾,2005(7):16-17.
[8]周蕾.灾后救助的人道主义供应链研究[J].江苏商论,2012(8):147-149.
[9]张永领.基于层次分析法的应急物资储备方式研究[J].灾害学,2011,26(3):120-125.
[10]Kohonen T.The self-organizing map[J].Neurocomputing,1998,21(1/3):1-6.
[11]于鷃.基于一维SOM神经网络的聚类及数据分析方法研究[D].天津:天津大学,2009.
[12]Dittenbach M,Rauber A,Merkl D.Uncovering hierarchical structure in data using the growing hierarchical self-organizing map[J].Neurocomputing,2002,48(4):199-216.
[13]杨震.文献聚类分析及其在金属矿开采技术发展趋势发掘中的应用研究[D].西安:西安建筑科技大学,2009.
[14]Shino K,Krimgold F,Ohta Y.Modeling of search-and-rescue activity in an earthquake[C]//Proceedings of the 10th WCEE.Balkema,Rotterdam,1992:6043-6048.
[15]姚清林,高建国.制约地震紧急救灾效果的关键因素与改进途径[J].灾害学,2005,20(3):48-52.
[16]郑长德.四川汶川特大地震受灾地区人口统计特征研究[J].西南民族大学学报:人文社科版,2008(9):21-28.
[17]周亚.多属性决策中的TOPSIS法研究[D].武汉:武汉理工大学,2009.
[18]王能.基于模糊线性规划和熵值法的虚拟企业任务分解风险评价研究[J].科技管理研究,2011(6):224-227.
[19]Zeleny M.Multiple criteria decision making[M].[S.l.]:McGraw-Hill,1982.
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