• DocumentCode
    2063634
  • Title

    Knowledge Management Model of Logistics Based on Grid Technology

  • Author

    Su, Haitao ; Xue, Yan ; Jiang, Xiaoyan

  • Author_Institution
    Sch. of Econ. & Manage., Nanchang Univ., Nanchang, China
  • Volume
    3
  • fYear
    2010
  • fDate
    14-15 Aug. 2010
  • Firstpage
    409
  • Lastpage
    412
  • Abstract
    Grid technology can achieve full connectivity of network resources, eliminate information silos, and thus realize resource sharing. Through standardized management of knowledge, the knowledge excavation, access and reuse can be facilitated. Because of the limitation of information management object, it is difficult to achieve the goal of intelligent logistics system, making logistics information inevitably develop towards the knowledge management phrase. Network technology integrates the relevant organizational and individual knowledge scattering in different regions of the world into logistics management process thus make the knowledge integration get rid of the time and space constraints. The paper constructs the model of logistic knowledge management frame, explores the grid-based knowledge acquisition and processing methods, and establishes the acquisition and classification model of logistic information knowledge as well as the logistic knowledge mining model of customer-oriented needs, which is conductive to a high degree of resource sharing and efficiency.
  • Keywords
    grid computing; knowledge acquisition; knowledge management; logistics; logistics data processing; grid technology; grid-based knowledge acquisition; information management object; intelligent logistics system; knowledge excavation; knowledge processing methods; knowledge scattering; logistic knowledge management frame model; logistic knowledge mining model; logistic model; network resources; network technology; resource sharing; Biological system modeling; Data mining; Knowledge acquisition; Knowledge management; Logistics; grid technology; knowledge management; logistics; neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering (ICIE), 2010 WASE International Conference on
  • Conference_Location
    Beidaihe, Hebei
  • Print_ISBN
    978-1-4244-7506-3
  • Electronic_ISBN
    978-1-4244-7507-0
  • Type

    conf

  • DOI
    10.1109/ICIE.2010.275
  • Filename
    5571609