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Logistics routes optimization model under large scale emergency incident
Chang CG(常春光); Chen, Dongwen; Song XY(宋晓宇); Gao B(高波)
作者部门工业信息学研究室
会议名称2010 International Conference on Logistics Systems and Intelligent Management, ICLSIM 2010
会议日期January 9-10, 2010
会议地点Harbin, China
会议主办者Harbin Univ Commerce, China Soc Comod Sci, IEEE Harbin Sect
会议录名称2010 International Conference on Logistics Systems and Intelligent Management, ICLSIM 2010
出版者IEEE Computer Society
出版地Piscataway, NJ
2010
页码1471-1475
收录类别EI
EI收录号20102312981806
WOS记录号WOS:000282107600327
产权排序1
ISBN号978-1-4244-7331-1
关键词Emergency Incident Logistics Route Optimization Model Genetic Algorithm
摘要Long duration, to-and-fro interleaving transportation among multi supply places and multi demand places are main features of emergency goods logistics under large scale emergency incidents. To implement large scale emergency goods distribution effectively according to demand, the routes logistics optimization model among multi supply places and multi demand places under large scale emergency incident is established. Several preconditions of the model are given, the optimization objectives include that emergency routes should be selected along the largest emergency goods flow direction, the curve degree of emergency routes should be minimized, the burden of emergency routes should be balance, and the repeat parameter of emergency network should be minimized as far as possible. Some constraints such as transportation quantity, length, curve degree of emergency routes, avoiding of isolated point and the number limit of emergency routes are considered. Above multi-objective non-linear programming model is transferred, and its solving method by GA is designed. The emergency logistics problem within one certain typical region is taken as the research instance, the validity of the model and its solving algorithm is validated. The obtained calculation result shows that, under the precondition of meeting the emergency routes' length and flow quantity, the emergency network performances such as repeat parameter, route exchanging times per transportation, number of isolated nodes, burden balance degree of emergency routes, average curve degree of emergency routes are satisfied. Under large emergency incidents, above routes optimization model and algorithm will benefit for improving efficiency and precision of emergency logistics, and its maneuverability is strong.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/19965
专题工业信息学研究室
通讯作者Chang CG(常春光)
作者单位1.School of Management, Shenyang Jianzhu University, Shenyang 110168, China
2.Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
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Chang CG,Chen, Dongwen,Song XY,et al. Logistics routes optimization model under large scale emergency incident[C]//Harbin Univ Commerce, China Soc Comod Sci, IEEE Harbin Sect. Piscataway, NJ:IEEE Computer Society,2010:1471-1475.
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