• DocumentCode
    2226548
  • Title

    Fuzzy logic Supply Chain Agility Assessment methodology

  • Author

    Pilevari, N. ; SeyedHosseini, S.M. ; Jassbi, Javad

  • Author_Institution
    Dept. of Ind. Manage., Islamic Azad Univ., Tehran, Iran
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1113
  • Lastpage
    1117
  • Abstract
    Supply Chain Agility Assessment has been considered as one of the most important issues in world class manufacturing research study. The environmental issue as well as speed, variety, flexibility and integration in production line come along with customer relationship and mass customization concept should come to light in today¿s research study. To achieve the competitive edge, companies must align with suppliers and customers to streamline operations, as well as agility characteristic beyond individual companies. Consequently agile supply chain (ASC) is considered as a dominant competitive advantage. However, so far a little effort has been made to build ASC assessment methodology in recent years. Therefore, due to ambiguity of agility assessment, we have constructed a fuzzy rule based system, considering agility capabilities such as Responsiveness, competency, flexibility and Quickness to evaluate agility in supply chains. This evaluation helps managers to perform gap analysis between existent agility level and the desired one.
  • Keywords
    agile manufacturing; customer relationship management; decision making; fuzzy logic; fuzzy reasoning; knowledge based systems; mass production; product customisation; supply chain management; agile supply chain; customer relationship; decision making; fuzzy inference system; fuzzy rule based system; manufacturing research; mass customization concept; supply chain agility assessment methodology; Delay; Fuzzy logic; Fuzzy systems; Knowledge based systems; Manufacturing; Mass customization; Mass production; Performance analysis; Performance evaluation; Supply chains; Agile supply chain; Agility; Fuzzy Logic; supply chain; supply chain management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2629-4
  • Electronic_ISBN
    978-1-4244-2630-0
  • Type

    conf

  • DOI
    10.1109/IEEM.2008.4738043
  • Filename
    4738043