Journal of South China University of Technology (Natural Science Edition) ›› 2008, Vol. 36 ›› Issue (5): 24-29,37.

• Computer Science & Technology • Previous Articles     Next Articles

A Growth-Based Modeling Method of Logistics Network

Chen Guo-rong1  Yan Ping1  Peng Jun2  Deng Ju-li3  Wang Qi-feng4   

  1. 1.Institute of Mechanical Engineering,Chongqing University,Chongqing 400044,China;2.School of Electronic and Information Engineering,Chongqing University of Science and Technology,Chongqing 400020,China;3.School of Environmental and Biological Engineering,Chongqing Technology and Business University,Chongqing 406000,China;4.Business School,Zhejiang Wanli University,Ningbo 315100,Zhejiang,China
  • Received:2007-09-05 Revised:2007-12-14 Online:2008-05-25 Published:2008-05-25
  • Contact: 陈国荣（1974-），男，博士生，主要从事网络化制造、制造系统工程方面的研究． E-mail:cwcgr@126．com
  • About author:陈国荣（1974-），男，博士生，主要从事网络化制造、制造系统工程方面的研究．
  • Supported by:

    国家“863”重点项目（2007AA040701）;重庆市科技攻关项目（CSTC2007AA2013）

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Abstract:

In order to solve the problems in the current dynamic modeling of logistics network,this paper proposes a basic growth-based modeling method NGM of logistics network based on the analyses of the popular logistics theories and the corresponding modeling methods as well as the newest applications of the complex network theory.In the investigation,an original model is first established,modified and optimized according to some special characte-ristics of the practical logistics network in terms of growth,preferential attachment and weighted edge.Then,the characteristics of the optimized model are analyzed according to the demands of the logistics center.Finally,a si-mulation is performed.The results show that the logistics network based on NGM can construct a hierarchical structure with a key node,a small number of center nodes and a large number of branching nodes according to the accumulation degree of nodes,and that the hierarchical structure helps to optimize the network performances in the aspects of economy,timeliness,security,communication and convenience.

Key words: logistics network, dynamic modeling, small world network