DocumentCode
3241287
Title
Configuration Knowledge Expression of ETO Product for Mass Customization
Author
Yujun, Lu ; Chunqing, Wang
Author_Institution
Inst. of Adv. Manuf. Technol., Zhejiang Sci-Tech Univ., Hangzhou
fYear
2008
fDate
24-26 Oct. 2008
Firstpage
733
Lastpage
738
Abstract
Design of Engineering-to-Order (ETO) product is a process describing various constraints with manifold knowledge to meet customer need in mass customization (MC). With the increase of parts´ number and design complexity of ETO product, configuration knowledge including those supporting variant design became more and more. Consequently, reasoning and sharing of knowledge became worse and worse and lead to difficult reasoning and consistency maintenance. Aiming at these problems, a composite method of configuration knowledge expression based on ontology and tabular layouts of article characteristics (TLAC) is proposed. Ontology is used to describe configuration constraint or rules among modules. TLAC is utilized to express the hiberarchy and assemble relations of components in configuration model. This method realizes formalized expression on configuration knowledge of ETO product and facilitates sharing and reuse of domain knowledge. Finally, an example of the rotor of industry turbine was given to verify the effectiveness of the above method.
Keywords
knowledge management; mass production; ontologies (artificial intelligence); product customisation; product design; production engineering computing; article characteristics tabular layouts; domain knowledge reuse; engineering-to-order product design; industry turbine rotors; knowledge sharing; mass customization; ontology; Assembly; Computer aided manufacturing; Costs; Grid computing; Knowledge engineering; Manifolds; Manufacturing processes; Mass customization; Ontologies; Product design; Configuration design; ETO; knowledge expression; mass customization;
fLanguage
English
Publisher
ieee
Conference_Titel
Grid and Cooperative Computing, 2008. GCC '08. Seventh International Conference on
Conference_Location
Shenzhen
Print_ISBN
978-0-7695-3449-7
Type
conf
DOI
10.1109/GCC.2008.99
Filename
4662944
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