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

ArticleinEngineering Applications of Artificial Intelligence 15(6):529-539 · December 2002with3 Reads
DOI: 10.1016/S0952-1976(03)00010-1
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.
    • "Later, it was shown that Axiomatic design framework can be effectively applied not only to design of products but also to engineering and non-engineering problems [14]. Application areas of AD such as manufacturing [15], software development [16] and even decision making [17] are very often bringing new challenges. Togay et al. [18] proposed a V-Model based on the AD to address component selection issues. "
    [Show abstract] [Hide abstract] ABSTRACT: Complexity problems in mass customized manufacturing are frequently discussed and analysed in order to find suitable methods to optimize extent of product varietes. Moreover, product designers have to consider also constraint satisfaction problem, since some serious conflicts may occur when requirements of the customer are specified based on a wide portfolio of modules or components and given configurations cannot be found. The main scope of this paper is to explore the possibilities of using axiomatic design theory and entropy based measures for quantifying product variety induced complexity. For this purpose, two approaches will be applied on a real case. Then a comparison and analysis of obtained results are included. Computational experiments showed that proposed approaches offer comparable results and can be effectively used to quantify varietyinduced complexity in terms of mass-customized manufacturing. © Faculty of Mechanical Engineering, Belgrade. All rights reserved.
    Full-text · Article · Dec 2015
    • "y constructed a simulation model and combined it with a decision support system to illustrate the effectiveness of the proposed knowledge base system. Huang (2002) extended the AD principles and defined two master domains: design workspace and review workspace. They investigated the relations between the two domains based on the independence axiom. Huang and Jiang (2002) used fuzzy set theory and expressed past experiences and insights as the membership functions of design parameters and evaluation criteria. Lindkvist and Söderberk (2003) used the independence axiom of AD and robust design to compare and evaluate assembly concept solutions. Chen et al. (2003) used the independence axiom to facilitate bo"
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    Full-text · Article · Dec 2015
    • "FAD also provides the opportunity to evaluate design concepts with a combination of qualitative and quantitative design criteria ([1]). The application trends of FAD have focused on design review ([16]), manufacturing system evaluation ([30]), equipment selection ([26]), assessment of transportation companies ([31]), seat evaluation considering usability factors ([13]), proposing competitive strategies on Turkish container ports ([5]), model selection for ship management ([6]), docking performance of shipyards ([7]), material selection ([11] [12]), teaching assistant selection ([20]), ship design ([4]), selection of renewable energy alternative ([24] [22]), concept selection for design ([1]), green supplier selection ([3]), and ergonomic advanced manufacturing technology selection ([34]). These studies have demonstrated the applicability and benefits of FAD especially for solving selection problems in fuzzy environments. "
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