Selecting the best ABS sensor technology using fuzzy MADM

Abstract

In the competitive world today, maintaining and developing market share are of great importance to any business, and technology plays an important role here. Technology selection, influencing the competitive advantages of an enterprise or a country is a multi-criteria decision problem which can be improved by integrating different MCDM1 methods. Many different resources including financial, human and time are spent to access a needed technology. Utilization of these resources can be optimized by integrating them with appropriate technologies. The objectives of this study are: 1) identifying the effective criteria of technology selection to improve the performance of CROUSE companies in Iran's auto industry by using Fuzzy Delphi, Fuzzy AHP and Fuzzy TOPSIS techniques, and 2) providing a systematic model to prioritize ABS2 sensor technology alternatives. We contributed to the technology selection by identifying critical criteria in technology selection. Our findings show that indicators of technology selection are not only some internal factors of the organization, but also include some factors external to the organization, and that the most effective criteria on technology selection are not merely financial, and some other factors such as political issues or the impacts of technology on employment are also influential. Key words: Fuzzy Delphi, fuzzy AHP, fuzzy TOPSIS, technology selection, technology selection criteria.