Journal of Intelligent Manufacturing

, Volume 19, Issue 3, pp 347–359 | Cite as

A mix method of knowledge capitalization in maintenance

  • Ivana Rasovska
  • Brigitte Chebel-Morello
  • Noureddine Zerhouni


This paper deals with knowledge capitalization in maintenance especially in diagnosis and repair of industrial equipments. The goal is to propose a method of knowledge capitalization in order to develop a decision support system for maintenance operators. The knowledge capitalization cycle was adopted as the underlying principle. It consists of four principal steps: detect, preserve, capitalize and actualize the strategic knowledge. Different knowledge management tools and methods that can be used in the cycle are reviewed. We propose a mix method of knowledge capitalization in maintenance. This method integrates a representation and a reasoning model both completing each other and suitable to represent and manipulate the domain knowledge. The knowledge representation model using unified modelling language (UML) diagram proposes different domain models based on maintenance analysis to guide the domain expertise. The reasoning model uses the case-based reasoning which allows the manipulation of represented domain knowledge. Finally, the method is implemented on the pallet transfer system Sormel in the context of Proteus e-maintenance platform.


Knowledge capitalization Case based reasoning Maintenance 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Aamodt, A. (2001). Modeling the knowledge contents of CBR systems. In Proceedings of the Workshop Program at the Fourth International Conference on Case-Based Reasoning, Vancouver.Google Scholar
  2. Althoff, K. D. (2001). Case-based reasoning. In S. K. Chang (Ed.), Handbook on software engineering and knowledge management (pp. 549–588).Google Scholar
  3. Bachimont, B., Isaac, A., & Troncy, R. (2002). Semantic commitment for designing ontologies: A proposal. In Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management, EKAW’2002 (Vol. 2473, pp. 114–121). Spain: Springer Verlag, LNAI.Google Scholar
  4. Barthès, J. P. (1996). ISMICK and knowledge management. In Knowledge management: Organization, competence and methodology, Proceedings of ISMICK’96 (pp. 9–13). Netherlands: Rotterdam.Google Scholar
  5. Bergmann R., Schaaf M. (2003). Structural case-based reasoning and ontology-based knowledge management: A perfect match?. Journal of Universal Computer Science 9(7):608–626Google Scholar
  6. Bézivin, J. (2000). From the object programming to the ontology modeling (in french). Ingénierie de connaissances 209–222.Google Scholar
  7. Bourne, C. (1997). Categorization and formalization of industrial knowledge (in french). In Fouet (Coord.) Connaissances et Savoir-faire en entreprise (pp. 179–197). Hermès.Google Scholar
  8. Charlet, J., Bachimont, B., Bouaud, J., & Zweigenbaum, P. (1996). Ontology and reutilisability: experiment and discussion (in french). Acquisition et ingénierie des connaissances: tendances actuelles. Toulouse: Cépaduès.Google Scholar
  9. Charlet J., Zacklad M., Kassel G., Bourigault D. (2000). Knowledge engineering: Recent evolutions and new challenges (in french). Paris, France: Editions EyrollesGoogle Scholar
  10. Corbel, J. C. (1997). Experience feedback methodology: Approach MEREX from Renault (in french). Connaissances et savoir-faire en entreprise (pp. 93–110). Hermès.Google Scholar
  11. Duribreux-Cocquebert, M., & Houriez, B. (2000). Industrial application of a mixed approach of knowledge modeling (in french). Ingénierie de connaissances, pp. 25–42.Google Scholar
  12. Ermine J.L. (1996). Knowledge systems (in french). Hermès, ParisGoogle Scholar
  13. Fouet, J. M. (1997). Knowledge and know-how in enterprise, integration and capitalization (in french). Hermès.Google Scholar
  14. Grundstein, M. (1992). Knowledge engineering within the company: An approach to constructing and capitalizing the knowledge assets of the company. In IAKE’92 Proceedings, Third Annual Symposium of the International Association of Knowledge Engineers, Washington DC.Google Scholar
  15. Grundstein, M. (1994). To develop a system containing knowledge: An effort of co-operation to build jointly an unknown object (in french). Paris: CP2I.Google Scholar
  16. Holsapple, C. W., & Joshi, K. D. (1999). Description and analysis of existing knowledge management frameworks. In Proceedings of 32nd Hawaii International Conference on System Sciences, IEEE.Google Scholar
  17. Jarboe, K. P. (2001). Knowledge Management As an Economic Development Strategy. Reviews of Economic Development Literature and Practice n° 7.Google Scholar
  18. Lai, H., & Chu, T. (2000). Knowledge management: A review of theoretical frameworks and industrial cases. In Proceedings of the 33rd Hawaii International Conference on System Sciences, IEEE.Google Scholar
  19. Malvache, P., & Prieur, P. (1993). Mastering corporate experience with the Rex method. In Proceedings of ISMICK’93, Compiègne.Google Scholar
  20. Matta, N., Ermine, J. L., Aubertin, G., & Trivin, J. Y. (2001). Knowledge capitalization with a knowledge engineering approach: The MASK method. In Proceeding of IJCAI’2001 Workshop on Knowledge Management and Organizational Memory.Google Scholar
  21. Mille, A. (1999). Tutorial CBR: State of the art of case-based reasoning (in french). Palaiseau: Plateforme AFIA’99.Google Scholar
  22. Mille A., Fuchs B., Chiron B. (1999). Reasoning based on the experiment: A new paradigm in industrial supervision (in french). Revue d’intelligence artificielle 13:97–128Google Scholar
  23. MOKA (2000). Final synthesis, Deliverable 4.3. The MOKA consortium.Google Scholar
  24. Motta E., Rajan T., Eisenstadt M. (1990). Knowledge acquisition as a process of model refinement. Knowledge Acquisition 2:21–49CrossRefGoogle Scholar
  25. OMG (2003). Unified modeling language specification. Version 1.5.Google Scholar
  26. Rasovska, I., Chebel-Morello, B., & Zerhouni, N. (2004). A conceptual model of maintenance process in unified modelling language. In Proceedings of the 11th IFAC Symposium on Information Control Problems in Manufacturing, Salvador-Bahia, Brasil.Google Scholar
  27. Reynaud Ch., Tort F. (1997). Using explicit ontologies to create problem solving methods. International Journal of Human-Computer Studies—Special issue on Explicit Ontologies in KBS Development 46:339–364Google Scholar
  28. Rosario, J. G. (1996). Much ado about knowledge capital. Business World, Philippines.Google Scholar
  29. Rumbaugh J., Jacobson L., Booch G. (1999). The unified modeling language reference manual. Reading, Addison WesleyGoogle Scholar
  30. Schreiber, A., Terpstra, A., Magn, P., & Van Veelzen, M. (1994). Analysing and implementing VT using commonKads. In Proceedings of the 8th Banf Knowledge Acquisition for Knowledge-Based Systems Workshop.Google Scholar
  31. Simon, G. (1996). Knowledge acquisition and modeling for corporate memory: lessons learnt from experience. In Proceedings of KAW’96, Banff, Canada, pp. 41.1–18. Also in
  32. Van Craeynest, J. M., Ermine, J. L., & Chagnot, Ch. (2000). Knowledge capitalization applied on the industrial transfer (in french).Ingénierie de connaissances, pp. 465–480.Google Scholar
  33. Van Heijst, G., Van der Spek, R., & Kruizinga, E. (1996). Organizing corporate memories. In Proceedings of KAW’96, Banff, Canada, pp. 42.1–17. Also in
  34. Vogel C. (1988). Cognitive sciences (in french). Collection “ Sciences cognitives”. Masson, ParisGoogle Scholar
  35. Wielinga B., Van De Velde W., Schreiber G., Akkermans H. (1993). Towards a unification of knowledge modelling approaches. In: David J.M., Krivine J.P., Simmons R. (eds). Second Generation Experts Systems. New York, USA: Springer Verlag, pp. 299–335Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Ivana Rasovska
    • 1
  • Brigitte Chebel-Morello
    • 1
  • Noureddine Zerhouni
    • 1
  1. 1.Laboratoire d’Automatique de BesançonBesançonFrance

Personalised recommendations