• DocumentCode
    2128216
  • Title

    Configuration Knowledge Expression Based on TLAC for ETO Product in Mass Customization

  • Author

    Lu, Yujun ; Wang, Chunqing

  • Author_Institution
    Inst. of AMT, Zhejiang Sci-Tech Univ., Hangzhou
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    842
  • Lastpage
    846
  • Abstract
    Design of engineering-to-order (ETO) product is a process describing various constraints with manifold knowledge to meet customer need in mass customization. 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 method of configuration knowledge expression based on tabular layouts of article characteristics (TLAC) for ETO product is proposed. 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
    machinery production industries; mass production; product customisation; turbomachinery; ETO product; TLAC; consistency maintenance; engineering-to-order product; mass customization; product design complexity; rotor industry turbine; tabular layouts of article characteristics; Assembly; Costs; Design engineering; Industrial relations; Knowledge acquisition; Knowledge engineering; Manifolds; Mass customization; Product design; Turbines; Configuration design; ETO product; Mass customization; Tabular layouts of article characteristics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling, 2008. KAM '08. International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3488-6
  • Type

    conf

  • DOI
    10.1109/KAM.2008.180
  • Filename
    4732948