• DocumentCode
    1944603
  • Title

    Complex Supply Networks Evolving Model: Complex Networks perspective

  • Author

    Li, Gang ; Xuan, Qi ; Song, Zhihuan ; Jin, Xiaogang

  • Author_Institution
    Inst. of Ind. Process Control, Zhejiang Univ., Hangzhou, China
  • fYear
    2010
  • fDate
    15-16 Nov. 2010
  • Firstpage
    511
  • Lastpage
    516
  • Abstract
    Supply networks modeling has gained tremendous attention in the field of supply chain during last decades. However, most existent literatures in supply networks do not pay much attention to the topological characteristics, which, as revealed by Complex Networks, have close relations with their behaviors in various complex systems. This paper introduces a novel topological structure evolving model of complex supply networks from the perspective of Complex Networks. After investigating supply networks typical structural characteristics and formation mechanisms, Complex Supply Networks Evolving Model (CSNEM) are proposed to mimic these structural characteristics. Then, three statistical properties are investigated. To validate CSNEM, three real supply chain networks are introduced. The results indicate that CSNEM is consistent with the real-world supply networks. Further the relations between these properties and supply networks macro behaviors i.e. rapid response capability and robustness are discussed. This work will provide managers and researches a beneficial insight on macroscopic structures characteristics as well as a helpful understanding on the relations between macroscopic structures and global behaviors in supply networks.
  • Keywords
    statistical analysis; supply chains; complex supply networks evolving model; statistical properties; supply chain; supply networks macrobehaviors; supply networks modeling; Adaptation model; Analytical models; Complex networks; Robustness; Silicon; Supply chains; Vehicle dynamics; Complex networks; Evolving model; Global topological structures; Supply networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Knowledge Engineering (ISKE), 2010 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-6791-4
  • Type

    conf

  • DOI
    10.1109/ISKE.2010.5680780
  • Filename
    5680780