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: 2.21). 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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    • "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. "
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    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 · FME Transactions
    • "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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    ABSTRACT: Effective and good quality imaging is important for medical decision-making and can reduce unnecessary costs and procedures. Therefore, decision making regarding any technology can present serious problems for healthcare centers with multi criteria decision making problems (MCDM). This paper is the first to develop the fuzzy axiomatic design with risk factors (RFAD) approach and to use it in multi attribute comparisons of medical imaging systems in a university hospital. Although most MCDM approaches in the literature treat risk factors as separate criteria, in real life every alternative has its own risks related to each criterion. The proposed approach integrates the risk factors in each criterion and calculates the information content to compare alternatives. This paper applies three different approaches to MCDM problems related to the selection of medical imaging systems for a university hospital.
    No preview · Article · Apr 2015 · Applied Soft Computing
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    • "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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    ABSTRACT: In recent years, Axiomatic Design (AD) has been widely used as a multi criteria decision making approach. AD approach compares the design objects and system capabilities in a framework and then selects the best alternative based on these comparisons. Some researchers then include fuzziness in the AD approach which helps to evaluate alternatives in fuzzy environments. The main advantage of fuzzy AD approach is the ability to evaluate both crisp and fuzzy values at the same time during decision process. However, these approaches are not appropriate for hierarchical decision problems. Therefore, these are extended to solve the hierarchical decision problems and Hierarchical Fuzzy Axiomatic Design Approach (HFAD) is presented. In this study, HFAD is extended to include risk factors for the first time in literature and a new approach called RFAD is proposed. Moreover, the application of the new approach is shown on a real world supplier selection problem and the results are compared to the other widely used decision making approaches in literature.
    Full-text · Chapter · Jan 2014
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