Web-based design review portal with fuzzy set theoretic methods for fuel pump designs.
ABSTRACT Design review is used throughout the product development process to evaluate the design in terms of costs, quality and delivery, to ensure that the most suitable knowledge and technology are incorporated into the design, and to resolve possible problems instead of passing them downstream. Business globalization has extended design review activities to involve interdisciplinary members within and outside the enterprise, either geographically collocated or dispersed. This paper first proposes a systematic and rigorous framework based on a Systematic Theory of Axiomatic Design Review for more efficient and effective design review. The resulting framework is adequately well-structured and generic, enabling it to become the basis for developing a web-based design review portal in the extended enterprise. The framework is extended further to formulate a new design review technique called FuzzySTAR (Fuzzy Set Theory Approach to design Review). This paper demonstrates how design review tools are accommodated within the design review enterprise portal and how to use FuzzySTAR for reviewing the design of a fuel pump.
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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 01/2002; 16:291-302. · 0.41 Impact Factor