Currently, the automobile industry faces increasing pressure to reduce the weight of vehicles in order to realize better fuel economy and reduced polluting emissions. Therefore, the long-term dominance of steel and iron as the main ferrous metals used in vehicles is about to change. Aluminum has become a prime candidate to replace steel. However, the decision to use steel or aluminum is a complex one, requiring a sophisticated decision model.This paper generalizes and applies de Korvin and Kleyle's (1999) fuzzy-analytic-hierarchical- process (FAHP) model. This generalized FAHP model is a powerful tool to tackle many complex decisions without relying on limiting definitions or unrealistic assumptions. The paper uses a concrete illustration to simplify the intricate methodology of FAHP that should help managers and controllers apply this model.


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    Title :

    A Fuzzy-Analytic-Hierarchical-Process Model for The Metal Decision in The Automotive Industry


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    International Body Engineering Conference & Exposition ; 2001



    Publication date :

    2001-10-16




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





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