• DocumentCode
    2854031
  • Title

    An integrated multi agent based model to find the most agile supplier

  • Author

    Ghahremanloo, H. ; Tarokh, M.J.

  • Author_Institution
    K.N. Toosi Univ. of Technol., Tehran, Iran
  • fYear
    2011
  • fDate
    6-9 Dec. 2011
  • Firstpage
    514
  • Lastpage
    518
  • Abstract
    Agile Supply Chain Management (ASCM) increasingly becomes an effective and important measure to enhance competitive advantage of modern enterprises. This paper contributes to the discussion on agility in SCM and provides a novel focus on the integration in ASC. The structure of Multi-agent systems inherently meets the requirements of autonomy and decentralization for supply chains. This research proposes a multi-agent-based model of ASCM that is capable of supporting the resource coordination between agents through a combinatorial action mechanism as well as selecting agile supplier. Finally, this model is validated by means of Fuzzy Multi objective linear programming. Using mathematical deduction enables an integrated ASCM model of selecting agile supplier being translated into a linear programming problem and consequently it has been solved by Lingo software.
  • Keywords
    fuzzy set theory; linear programming; multi-agent systems; supply chain management; ASCM; agile supplier; agile supply chain management; fuzzy multi objective linear programming; integrated multi agent based model; multiagent systems; Indexes; Linear programming; Materials; Mathematical model; Schedules; Supply chain management; Supply chains; ASCM; Agile Supply Chain Management; Agility; Fuzzy multi objective decision making; Integration; SCM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4577-0740-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2011.6117970
  • Filename
    6117970