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.
A Fuzzy-Analytic-Hierarchical-Process Model for The Metal Decision in The Automotive Industry
Sae Technical Papers
International Body Engineering Conference & Exposition ; 2001
2001-10-16
Aufsatz (Konferenz)
Englisch
Metals , Fuel economy , Iron , Ferrous metals , Aluminum , Steel
Automotive industry policy decision
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