• DocumentCode
    2663836
  • Title

    Improved E-sourcing Strategy with Multi-agent Swarms

  • Author

    Fuks, Konrad ; Kawa, Arkadiusz ; Wieczerzycki, Waldemar

  • Author_Institution
    Poznan Univ. of Econ., Poznan, Poland
  • fYear
    2008
  • fDate
    10-12 Dec. 2008
  • Firstpage
    488
  • Lastpage
    493
  • Abstract
    The research results reported in this paper mainly relate to the well-known limitations of e-sourcing, i.e. the difficulties and restrictions in browsing thousands globally operating e-marketplaces, differences between the requirements of a potential participant for buying purposes and those of the organizations seeking participation as suppliers, growing competitiveness and the changeability of the demands at e-marketplaces. Combining agent technology with bee strategy offers a solution, as suggested in the paper. The behavior of bees, which cope with the management of limited resources in an unpredictable and constantly changing environment seems applicable to e-sourcing. This expands the present opportunities offered by e-marketplaces. The main contribution of this paper is an adaptation of the Polymorphic Self-Slimming Agent (PSA) model to the e-sourcing platform, which is based on the bees strategy. This combination shows how small and medium enterprises (SMEs) can significantly increase resources acquisition and search of potential suppliers.
  • Keywords
    electronic commerce; multi-agent systems; purchasing; small-to-medium enterprises; agent technology; bee strategy; e-sourcing strategy; globally operating e-marketplaces; limited resources management; medium enterprises; multiagent swarms; polymorphic self-slimming agent; small enterprises; Communications technology; Companies; Environmental economics; Environmental management; Humans; Inspection; Intelligent agent; Intelligent networks; Paper technology; Resource management; agent technology; bees strategy; e-sourcing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    978-0-7695-3514-2
  • Type

    conf

  • DOI
    10.1109/CIMCA.2008.61
  • Filename
    5172674