Web-based design review of fuel pumps using fuzzy set theory
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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ABSTRACT: The mould industry is an indispensable foundation for mass production by manufacturer and influences the time to market of new product. It is difficult to integrate the new product development processes and information systems among the mould companies which are mainly small and medium enterprises. The design chain operations reference-model (DCOR) provides a well-recognised methodology to standardise the management process for a product development project and enables the integration for mould industry. The DCOR focuses on a primary and preliminary product development process and is necessary to extend the detail templates for the industrial requirements. Hence, the purpose of this research is to develop an approach that extends the DCOR to the mould industry. The framework of the developed model, which is called the design chain operations reference-model for the mould industry, is adopted for a case mould company for a feasibility discussion.Production Planning and Control 07/2010; 21(5):428-436. DOI:10.1080/09537280903363217 · 0.99 Impact Factor
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ABSTRACT: Global Software Development (GSD) projects could be best understood as intrinsically complex adaptive living systems: they cannot purely be considered as ‘designed systems’, as deliberate design/control episodes and processes (using ‘software engineering’ models) are intermixed with emergent change episodes and processes (that may perhaps be explained by models). Therefore to understand GSD projects as complex systems we need to combine the state-of-the-art of GSD research, as addressed in the software engineering discipline, with results of other disciplines that study complexity (e.g., Enterprise Architecture, Complexity and Information Theory, Axiomatic Design theory). In this paper we study the complexity of GSD projects and propose an upper bound estimation of Kolmogorov complexity (KC) to estimate the information content (as a complexity measure) of project plans. We demonstrate using two hypothetical examples how good and bad project plans compare with respect to complexity, and propose the application of extended Axiomatic Design (AD) theory to reduce the complexity of GSD projects in the project planning stage, as well as to keep this complexity as low as possible during the project execution stage.Computers in Industry 12/2015; 67:86–96. DOI:10.1016/j.compind.2014.10.008 · 1.46 Impact Factor
Conference Paper: Axiomatic Design Principles under Fuzzy Environment[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