Web-based design review of fuel pumps using fuzzy set theory

George Q. Huang, Zuhua Jiang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

16 Citations (Scopus)

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 languageEnglish
Pages (from-to)529-539
Number of pages11
JournalEngineering Applications of Artificial Intelligence
Volume15
Issue number6
DOIs
Publication statusPublished - Dec 2002
Externally publishedYes

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

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