• DocumentCode
    2005796
  • Title

    Autonomic logistics information sharing analysis based on small-world networks

  • Author

    Xu, Yuguo ; Qiu, Ling ; Liu, Guanjun

  • Author_Institution
    Mechatron. & Autom. Sch., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2011
  • fDate
    24-25 May 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The information sharing within autonomic logistics system is a critical challenge. In this paper the information flow network is modeled from the complex network viewpoint. And four information sharing modes are assorted based on the information classification of equipment maintenance logistics system. The metrics architecture on evaluating information flow network is constructed and the connotations about all metrics are outlined. And then the information sharing mechanism and methodology are presented based on improved small-world network. Finally the information sharing of one maintenance logistics system is provided to illustrate the feasibility of the proposed method. The result shows that the proposed method can analyze the efficiency of diverse information sharing modes, and can be used as a support in information sharing mode decision.
  • Keywords
    complex networks; data flow analysis; logistics data processing; maintenance engineering; pattern classification; peer-to-peer computing; complex network; equipment maintenance; information classification; information flow network; information sharing; maintenance logistics system; metrics architecture; small-world networks; Engines; Logistics; Maintenance engineering; autonoimoic logistics; complex networks; information sharing; small-world network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management Conference (PHM-Shenzhen), 2011
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-7951-1
  • Electronic_ISBN
    978-1-4244-7949-8
  • Type

    conf

  • DOI
    10.1109/PHM.2011.5939518
  • Filename
    5939518