Article

Web-based design review of fuel pumps using fuzzy set theory

Department of Industrial and Manufacturing Systems Engineering, University of Hong Kong, Pokfulam Road, Hong Kong NA, People's Republic of China
Engineering Applications of Artificial Intelligence (Impact Factor: 1.96). 12/2002; 15(6):529-539. DOI: 10.1016/S0952-1976(03)00010-1

ABSTRACT While product design and development has received significant attention over the past years, the activity of Design Review (DR) has not been dealt with at the equal level, despite its paramount importance. This can be easily observed from the scarce literature and ad hoc approach in industrial practices. Few Product Data Management (PDM) systems provide facilities for design review due to the lack of rigorous DR methodologies. This paper proposes a systematic and rigorous methodology for more efficient and effective DR by applying and extending the Suh’s well-known Theory of Axiomatic Design (TAD) into a Systematic Theory of Axiomatic design Review (STAR). The resulting STAR framework is well-structured and generic enough not only to act as the basis for developing a web-based design review portal in the extended enterprise, but also to accommodate specific design review techniques such as FuzzySTAR (Fuzzy Set Theory Approach to design Review) used for reviewing the fuel pump design case study.

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    • "In recent years, the AD methodology has applied over different cases under fuzzy environment which is socalled as FAD. Although the fundamental concept of t FAD theory is relatively new, the application trends over various themes have continued such as design review (Huang & Jiang, 2002), manufacturing system evaluation (Kulak & Kahraman, 2005a), equipment selection (Kulak, Durmusog ˘lu, & Kahraman, 2005), assessment of transportation companies (Kulak & Kahraman, 2005b), development of fuzzy decision tree (Liu & Pedrycz, 2007), and docking performance of shipyards (Celik, Kahraman, Cebi, & Er, in press). The invaluable outcomes of the relevant papers indicate that the fuzzy extensions over the AD principles have contributions especially in decision and management related themes. "
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