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.

  • Source
    • "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. "
    [Show abstract] [Hide abstract]
    ABSTRACT: The model selection paradigm is one of the focused themes within decision science. This paper addresses the consistent solution of model selection issue on the basis of the fuzzy axiomatic design (FAD) methodology. Moreover, the developed FAD–based model selection interface (FAD–MSI) is performed over the critical ship management processes in order to assign suitable (multiple criteria decision-making) MCDM techniques even if commonly utilized hybrid approaches. The outcomes of this study encourage the maritime practitioners for the further researches towards analytical modelling of ship management processes.
    Expert Systems with Applications 04/2009; 36(3-36):6477-6484. DOI:10.1016/j.eswa.2008.07.038 · 1.97 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Product development involves multiple phases. Design review (DR) is an essential activity formally conducted to ensure a smooth transition from one phase to another. Such a formal DR is usually a multicriteria decision problem, involving multiple disciplines. This paper proposes a systematic framework for DR using fuzzy set theory. This fuzzy approach to DR is considered particularly relevant for several reasons. First, information available at early design phases is often incomplete and imprecise. Second, the relationships between the product design parameters and the review criteria cannot usually be exactly expressed by mathematical functions due to the enormous complexity. Third, DR is frequently carried out using subjective expert judgments with some degree of uncertainty. The DR is defined as the reverse mapping between the design parameter domain and design requirement (review criterion) domain, as compared with Suh's theory of axiomatic design. Fuzzy sets are extensively introduced in the definitions of the domains and the mapping process to deal with imprecision, uncertainty, and incompleteness. A simple case study is used to demonstrate the resulting fuzzy set theory of axiomatic DR.
    Artificial intelligence for engineering design analysis and manufacturing 09/2002; 16(4):291-302. DOI:10.1017/S0890060402164031 · 0.55 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Axiomatic design gives a design map to designers in order to establish a scientific basic for design and to improve design activities. In the Axiomatic Approach, the relationship between functional requirements and design parameters has been defined by 0 or 1. This definition, sometimes, restrict designers under the situation that there are incomplete information or uncertainty. In this study, the use of the axiomatic design principles is discussed under fuzzy environment. New formulas are presented to calculate independence of the design. Moreover, the usability of the methodology is given by a numerical example in this study. Proposed methodology provides the designers to explain the relationship between FRs and DPs in linguistic form.
    Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on; 01/2008
Show more