A knowledge acquisition method to model parametric engineering design processes

W.O. Schotborgh, C. McMahon, F.J.A.M. Van Houten

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

This paper proposes an interview-style method to create models of engineering design processes intended for design automation. Development of design automation tools often requires a model of the design artefact, design process or design knowledge. However, the knowledge about product development often resides tacitly inside the mind of designers and is difficult to make explicit. The lack of explicit process models creates a challenge for organisations to improve their design processes. A method is proposed to create explicit models of tacit design knowledge of structured design problems. A standardised model of the design process is used to classify sets of information and processes. The content of the model is filled step-by-step through a series of questions. A prescriptive modelling method reduces the required effort for knowledge modelling and allows design processes to be supported more effectively. The method is demonstrated for a design case with tacit knowledge and a further nine cases are used to demonstrate scalability and comparison between design knowledge of mechanical components and complex product systems.
Original languageEnglish
Pages (from-to)373-391
Number of pages19
JournalInternational Journal of Computer Aided Engineering and Technology
Volume4
Issue number4
DOIs
Publication statusPublished - 2012

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Knowledge acquisition
Automation
Product development
Scalability

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A knowledge acquisition method to model parametric engineering design processes. / Schotborgh, W.O.; McMahon, C.; Van Houten, F.J.A.M.

In: International Journal of Computer Aided Engineering and Technology, Vol. 4, No. 4, 2012, p. 373-391.

Research output: Contribution to journalArticle

Schotborgh, W.O. ; McMahon, C. ; Van Houten, F.J.A.M. / A knowledge acquisition method to model parametric engineering design processes. In: International Journal of Computer Aided Engineering and Technology. 2012 ; Vol. 4, No. 4. pp. 373-391.
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