A combined fuzzy group decision making framework to evaluate agile supply chain enablers

Gulcin Buyukozkan, Da Ruan, Özgür Kabak

    Research outputpeer-review

    Abstract

    To support an effective agile supply chain management, we examine in this paper agile supply chain enablers in an analytical context. We propose a new integrated method combining fuzzy logic, decision making trial and evaluation laboratory and analytic network process to determine the most important factors of agility in the supply chain management. We also demonstrate the potentials of the methodology by a case study in an Turkish automotive industry.
    Original languageEnglish
    Title of host publicationIntelligent Decision Making Systems
    Place of PublicationSingapore, Singapore
    Pages299-304
    Volume1
    StatePublished - Nov 2009
    EventThe 4th Int. ISKE Conf. on Intelligent Decision Making Systems - Hasselt
    Duration: 27 Nov 200928 Nov 2009

    Publication series

    NameComputer Engineering and Information Science
    Number2

    Conference

    ConferenceThe 4th Int. ISKE Conf. on Intelligent Decision Making Systems
    Country/TerritoryBelgium
    CityHasselt
    Period2009-11-272009-11-28

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