• DocumentCode
    2708896
  • Title

    An Intelligent Online Supply Chain Management System for Improved Decision Making on Supplier Selection

  • Author

    Yee, Chan Gaik ; Marssaille, Arrey ; Shah, Ida Farisha Moer Alim

  • Author_Institution
    Fac. of Inf. Technol., Multimedia Univ., Cyberjaya, Malaysia
  • fYear
    2010
  • fDate
    7-10 May 2010
  • Firstpage
    872
  • Lastpage
    875
  • Abstract
    The trend of efficient business practice is towards automating business processes by building a system that would simultaneously provide for a sustainable environment together with improved decision making. By applying current internet technology with a touch of creativity and machine intelligence, our online supply chain management system (OSCMS) is built to meet the objective of applying information technology (IT) to efficiently automate business processes for attaining a sustainable environment together with improved decision making. In this paper, we introduce an OSCMS with added functionality, vendor evaluation function that will further enrich the existing benefits of reducing costs, improving customer service and sales.
  • Keywords
    Internet; artificial intelligence; decision making; information services; supply chain management; business processes; decision making; information technology; intelligent online supply chain management system; internet technology; machine intelligence; supplier selection; vendor evaluation function; Cost function; Customer service; Decision making; Information technology; Internet; Machine intelligence; Manufacturing automation; Manufacturing processes; Multimedia systems; Supply chain management; business process automation; machine intelligence; supply chain management; sustainable environment; vendor evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Research and Development, 2010 Second International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-0-7695-4043-6
  • Type

    conf

  • DOI
    10.1109/ICCRD.2010.179
  • Filename
    5489458