Advertisement

Knowledge-Based Engineering Template Instances Update Support

  • Olivier Kuhn
  • Thomas Dusch
  • Parisa Ghodous
  • Pierre Collet
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 73)

Abstract

This paper presents an approach to support the update of Knowledge-Based Engineering template instances. As result of this approach, engineers are provided with a sequence of documents, giving the order in which they have to be updated. The generation of the sequence is based on the dependencies. In order to be able to compute a sequence, information about templates, Computer-Aided Design models and their relations are required. Thus an ontology has been designed in order to provide a comprehensive knowledge representation about templates and assemblies, and to allow inference on this knowledge. This knowledge is then used by a ranking algorithm, which generates the sequence from modified templates, without involving a manual analysis of the models and their dependencies. This will prevent mistakes and save time as the analysis and choices are automatically computed.

Keywords

Ontology Update strategy Knowledge-based Engineering KBE templates Ranking 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Katzenbach, A., Bergholz, W., Rohlinger, A.: Knowledge-based design an integrated approach. In: Heidelberg, S.B. (ed.) The Future of Product Development, pp. 13–22 (2007)Google Scholar
  2. 2.
    Liese, H.: Wissensbasierte 3D-CAD Repräsentation. PhD thesis, Technische Universität Darmstadt (2003)Google Scholar
  3. 3.
    Dudenhöffer, F.: Plattform-effekte in der Fahrzeugindustrie. In: Controlling, vol. 3, pp. 145–151 (2000)Google Scholar
  4. 4.
    Gay, P.: Achieving competitive advantage through knowledge-based engineering: A best practise guide. Technical Report, British Department of Trade and Industry (2000)Google Scholar
  5. 5.
    Chapman, C.B., Pinfold, M.: The application of a knowledge based engineering approach to the rapid design and analysis of an automotive structure. Advances in Engineering Software 32, 903–912 (2001)CrossRefGoogle Scholar
  6. 6.
    Kamrani, A., Vijayan, A.: A methodology for integrated product development using design and manufacturing templates. Journal of Manufacturing Technology Management 17(5), 656–672 (2006)CrossRefGoogle Scholar
  7. 7.
    Arndt, H., Haasis, S., Rehner, H.P.: CATIA V5 Template zur Umsetzung von Standardkonzepten. In: Vieweg Technology Forum Verlag (ed.) Karosseriebautage Hamburg, Internationale Tagung (2006)Google Scholar
  8. 8.
    Lukibanov, O.: Use of ontologies to support design activities at DaimlerChrysler. In: 8th International Protégé Conference (2005)Google Scholar
  9. 9.
    Siddique, Z., Boddu, K.: A CAD template approach to support web-based customer centric product design. Journal of Computing and Information Science in Engineering 5(4), 381–386 (2005)CrossRefGoogle Scholar
  10. 10.
    Haasis, S., Arndt, H., Winterstein, R.: Roll out template-based engineering process. In: DaimlerChrysler EDM—CAE Forum (2007)Google Scholar
  11. 11.
    Mbang, S.: Durchgängige Integration von Produktmodellierung, Prozessplannung und Produktion am Beispiel Karosserie. In: CAD - Produktdaten ”Top Secret”?! (2008)Google Scholar
  12. 12.
    Mizuguchi, R.: Tutorial on ontological engineering - part 1: Introduction to ontological engineering. In: New Generation Computing, vol. 21, pp. 365–384. OhmSha&Springer (2003)Google Scholar
  13. 13.
    Noy, N., McGuinness, D.: Ontology development 101: A guide to creating your first ontology. Technical Report, Stanford University (2001)Google Scholar
  14. 14.
    STEP: ISO 10303 - industrial automation systems and integration - product data representation and exchange (1994)Google Scholar
  15. 15.
    Gansner, E.R., Koutsofios, E., North, S.C., Vo, K.P.: A technique for drawing directed graphs. IEEE Trans. Softw. Eng. 19(3), 214–230 (1993)CrossRefGoogle Scholar
  16. 16.
    North, S.C., Woodhull, G.: On-line Hierarchical Graph Drawing. In: Mutzel, P., Jünger, M., Leipert, S. (eds.) GD 2001. LNCS, vol. 2265, pp. 232–246. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  17. 17.
    Sugiyama, K., Tagawa, S., Toda, M.: Methods for visual understanding of hierarchical system structures. IEEE Intelligent Systems Transactions on Systems, Man, And Cybernetics 11(2), 109–125 (1981)CrossRefGoogle Scholar
  18. 18.
    Noy, N.F., Sintek, M., Decker, S., Crubezy, M., Fergerson, R.W., Musen, M.A.: Creating semantic web contents with protege-2000. IEEE Intelligent Systems 2(16), 60–71 (2001)CrossRefGoogle Scholar
  19. 19.
    Tsarkov, D., Horrocks, I.: Fact++ description logic reasoner: System description. In: International Joint Conference on Automated Reasoning, vol. 3, pp. 292–297 (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Olivier Kuhn
    • 1
    • 2
    • 3
    • 4
  • Thomas Dusch
    • 1
  • Parisa Ghodous
    • 2
    • 3
  • Pierre Collet
    • 4
  1. 1.PROSTEP AGDarmstadtGermany
  2. 2.CNRSUniversité de LyonLyonFrance
  3. 3.LIRIS, UMR5205Université Lyon 1LyonFrance
  4. 4.CNRS, LSIIT, UMR7005Université de StrasbourgStrasbourgFrance

Personalised recommendations