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.
Original language | English |
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Pages (from-to) | 529-539 |
Number of pages | 11 |
Journal | Engineering Applications of Artificial Intelligence |
Volume | 15 |
Issue number | 6 |
DOIs | |
Publication status | Published - Dec 2002 |
Externally published | Yes |
Keywords
- Axiomatic design
- Design review
- Enterprise portal
- Extended enterprise
- Fuzzy sets
- Product development
ASJC Scopus subject areas
- Control and Systems Engineering
- Artificial Intelligence
- Electrical and Electronic Engineering