• DocumentCode
    690864
  • Title

    A STEP-based product knowledge model for One-of-a-Kind Production

  • Author

    Li, B.M. ; Xie, Sheng Q. ; Xu, Xin

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Auckland, Auckland, New Zealand
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    737
  • Lastpage
    741
  • Abstract
    One-of-a-Kind Production (OKP) is a new manufacturing paradigm for developing customized products with growing product variety in order to meet demands from individual customers in today´s markets. Historical product knowledge is of great importance for OKP product development (OKPPD) in which data exchange and sharing is always required for collaborations of systems and integrations of PD activities. Many STEP-based knowledge modeling approaches have been developed. However, they have limitations on solving issues in OKPPD. This paper presents a STEP-based data model, and a four-step modeling method for supporting customized PD activities. A new EXPRESS data model with four submodels is also introduced, and four databases are established based on the proposed EXPRESS data model.
  • Keywords
    customer satisfaction; data models; database management systems; electronic data interchange; knowledge management; product customisation; product development; production engineering computing; EXPRESS data model; OKP product development; OKPPD; PD activities; STEP-based data model; STEP-based product knowledge model; customer demands; customized product development; data sharing; four-step modeling method; historical product knowledge; manufacturing paradigm; one-of-a-kind production; product variety; standard for the exchange of product model data; Companies; Data models; Databases; ISO standards; Machining; Manufacturing; Solid modeling; Knowledge modeling; One-of-a-Kind Production (OKP); Product data exchange; STEP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2012 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/IEEM.2012.6837837
  • Filename
    6837837