• DocumentCode
    588940
  • Title

    A Study on the Model of Decision Support for Incentive in Logistics Cloud-Networks

  • Author

    Liu Qin ; Hu Juan

  • Author_Institution
    Zhixing Coll., Hubei Univ. of Technol., Wuhan, China
  • Volume
    2
  • fYear
    2012
  • fDate
    28-29 Oct. 2012
  • Firstpage
    483
  • Lastpage
    486
  • Abstract
    In logistics cloud-networks system, the system task allocation and the collaborative operation are realized through the logistics service supply and demand information sharing and operation information updated in real time. the integrated system can get more profit than the independent operation. the paper established a decision support model of incentive, considered the motivational factor, input the data of supply service behavior information collected from cloud-networks information platform, and get the income distribution decision support scheme, which can be used to inspire each agent with independent interest to take active collaborative decision making and cooperative behavior. It can be used as method and knowledge discovery in decision support model", "with important significance for the management to maintain logistics network information platform in theory and practice.
  • Keywords
    cloud computing; data mining; decision support systems; groupware; logistics; supply and demand; active collaborative decision making; collaborative operation; cooperative behavior; incentive; income distribution decision support scheme; knowledge discovery; logistics cloud-networks system; logistics network information; logistics service supply-and-demand information sharing; motivational factor; supply service behavior information; system task allocation; Collaboration; Indexes; Information management; Resource management; Standards; Supply chains; Logistics cloud-networks; cooperative operation; decision support; motivate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-2646-9
  • Type

    conf

  • DOI
    10.1109/ISCID.2012.256
  • Filename
    6406043