Advertisement

Exploitation of a Semantic Platform to Store and Reuse PLM Knowledge

Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 438)

Abstract

Products generate a large amount of information during their lifecycles. Small and medium enterprises are often not structured enough to enable the efficient management of such amount of information. Several tools of product lifecycle management have been developed in the last years to address this issue, but they are rarely exploited by companies, especially SMEs. The aim of our work is to present a semantic platform to integrate data along the whole product lifecycle to allow semantic search and knowledge reuse. The integration of data is realized with a reference PLM ontology, containing the main concepts and relations to describe a PLM. This ontology has a modular structure, so that it can be easily extended to describe concrete product lifecycles. An example of a real application of the semantic platform in an industrial case is reported.

Keywords

PLM knowledge management semantic model ontology UML 

References

  1. 1.
    Bradfield, D.J., Gao, J.X.: A methodology to facilitate knowledge sharing in the new product development process. International Journal of Production Research 45, 1489–1504 (2007)CrossRefGoogle Scholar
  2. 2.
    Lutters, E., Brinke, E.T., Streppel, T., Kals, H.: Information management and design & engineering processes. International Journal of Production Research 38, 4429–4444 (2000)CrossRefzbMATHGoogle Scholar
  3. 3.
    Young, R.I.M., Gunendran, A.G., Cutting-Decelle, A.F., Gruninger, M.: Manufacturing knowledge sharing in PLM: a progression towards the use of heavy weight ontologies. International Journal of Production Research 45, 1505–1519 (2007)CrossRefGoogle Scholar
  4. 4.
    Panetto, H., Dassisti, M., Tursi, A.: ONTO-PDM: Product-driven ONTOlogy for Product Data Management interoperability within manufacturing process environment. Journal Advanced Engineering Informatics 26, 334–348 (2012)CrossRefGoogle Scholar
  5. 5.
    Matsokis, A., Kiritsis, D.: An ontology-based approach for Product Lifecycle Management. Computers in Industry 61, 787–797 (2010)CrossRefGoogle Scholar
  6. 6.
    Raza, M.B., Kirkham, T., Harrison, R., Reul, Q.: Improving Manufacturing Efficiency at Ford Using Product Centred Knowledge, Digital Information Management. In: ICDIM 2009(2009)Google Scholar
  7. 7.
    Fiorentini, X., Paviot, T., Fortineau, V., Goblet, J.-L., Lamouri, S.: Modeling nuclear power plants engineering data using ISO 15926. In: Proceedings of 2013 Industrial Engineering and Systems Management, IESM (2013)Google Scholar
  8. 8.
    Lentes, J., Eckstein, H., Zimmermann, N.: A platform for information and decision support in engineering. In: 22nd International Conference on Production Research (2013)Google Scholar
  9. 9.
  10. 10.
    Fielding, R.T., Taylor, R.N.: Principled Design of the Modern Web Architecture. ACM Transactions on Internet Technology 2, 115–150 (2002)CrossRefGoogle Scholar
  11. 11.
  12. 12.
    Antonelli, D., Bruno, G., Schwichtenberg, A., Villa, A.: Full exploitation of Product Lifecycle Management by integrating static and dynamic viewpoints. In: IFIP Advances in Information and Communication Technology, vol. 398 (part 2), pp. 176–183 (2013)Google Scholar
  13. 13.
    Bruno, G., Villa, A.: The exploitation of an ontology-based model of PLM from a SME point of view. In: IFAC Proceedings Volumes (IFAC-PapersOnline), pp. 1447–1452 (2013)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  1. 1.Politecnico di TorinoTorinoItaly
  2. 2.USU Software AGKarlsruheGermany
  3. 3.Fraunhofer Institute for Industrial Engineering IAOStuttgartGermany
  4. 4.University of Stuttgart IATStuttgartGermany

Personalised recommendations