• DocumentCode
    2030442
  • Title

    Structure Analysis of Supply Chain Networks Based on Complex Network Theory

  • Author

    Keqiang, Wang ; Zhaofeng, Zeng ; Dongchuan, Sun

  • Author_Institution
    Sch. of Bus. Adm., South China Univ. of Technol., Guangzhou
  • fYear
    2008
  • fDate
    3-5 Dec. 2008
  • Firstpage
    493
  • Lastpage
    494
  • Abstract
    Supply chain network could be seen as a complex network which consists of lots of suppliers, retailers, consumers and their relations. The structure of complex supply chain network is an important issue. The authors investigated Guangzhou automotive industry supply chain network. This network is formed by 84 enterprises, which Guangzhou Honda, Dongfeng-Nissan and Guangzhou-Toyota are key hubs of the network. Some statistical attributes of the network were calculated, such as degree distribution, average path length, and clustering coefficient,. The statistical result shows that Guangzhou automotive industry supply chain network is a complex network possessing attributes of small-word and scale-free.
  • Keywords
    automotive engineering; statistical analysis; supply chain management; Dongfeng-Nissan; Guangzhou Honda; Guangzhou automotive industry supply chain network; Guangzhou-Toyota; average path length; clustering coefficient; complex network possessing attributes; complex network theory; complex supply chain network; degree distribution; statistical attributes; structure analysis; supply chain networks; Agricultural engineering; Automobiles; Automotive engineering; Complex networks; Information analysis; Intelligent networks; Knowledge engineering; Network topology; Robustness; Supply chains; complex network; structure; supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grid, 2008. SKG '08. Fourth International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3401-5
  • Electronic_ISBN
    978-0-7695-3401-5
  • Type

    conf

  • DOI
    10.1109/SKG.2008.71
  • Filename
    4725975