Product data quality assurance for e-manufacturing in the automotive industry

Digital representations of products are replacing physical drawings as the main form in which product data are stored, analysed, and communicated among those who contribute to the design of automobiles. Because many engineers and companies participate in the complex design of automobiles, the design process depends on the team members' ability to share information on essential design elements. These trends have elevated the importance of the quality of digital product data and its efficient exchange. We review the state of the arts for product data quality (PDQ), as well as 3-D model quality assurance systems for the PDQ improvements. We propose a method for diagnosing and repairing CAD model errors based on the design history.
Publisher
TAYLOR & FRANCIS LTD
Issue Date
2006-03
Language
ENG
Keywords

CAD; MODEL

Citation

INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, v.19, no.2, pp.136 - 147

ISSN
0951-192X
DOI
10.1080/09511920500171261
URI
http://hdl.handle.net/10203/3103
Appears in Collection
ME-Journal Papers(저널논문)
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