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Abstract

The stages of an industrial product life-cycle can be described using process networks. A more generic and complete modeling is requested to improve the effectiveness of the knowledge life-cycle management related to the product.

Three aspects have to be considered.

• First, knowledge is extracted from specific processes and is often of a high complexity level. It is used by different users at different times, transmitted from one user to one another even if they are concerned by different points of view.

• Second, modeling is highly influenced by the used software that often considers particular views. The consequences are information redundancy, lack of integration of the different views and lack of information completeness.

• Third, knowledge is not static: the whole enterprise processes affect it. As a result, the transformations of knowledge have to be modeled but this is still a major difficulty for the usual models.

Consequently, a new generic and structuring model based on the FBS concepts (Function, Behavior and Structure) is proposed. These concepts are applied to four objects (PPRE): the Processes, the Products (objects stemming from the processes), the Resources (objects needed to realize the processes) and the External effects (constraints having an influence on the processes).

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References

  1. Daimler Chrysler, Methodology and tools Oriented to Knowledge-based engineering Applications, MOKA project – ESPRIT 25418, Deliverable D4.3, final version, June 26, 2000.

    Google Scholar 

  2. Doumeingts, G., Méthode GRAI, méthode de conception des systèmes en productique, Thèse de doctorat d’état, Université Bordeaux 1, 1984.

    Google Scholar 

  3. Eynard, B., Modélisation du produit et des activités de conception. Contribution à la conduite et à la traçabilité du processus d’ingénierie, Thèse de Doctorat de l’Université Bordeaux 1, Bordeaux, June 30, 1999.

    Google Scholar 

  4. Gero, J.S., 1990, Design Prototypes: A Knowledge Representation Schema for Design, AI Magazine, Vol. 11, No. 4, pp. 26–36.

    Google Scholar 

  5. Gzara, L., Les patterns pour l’ingénierie des systèmes d’information produit, Thèse de l’Institut National Polytechnique de Grenoble, December 12, 2000.

    Google Scholar 

  6. Harani, Y., Une Approche Multi-Modèles pour la Capitalisation des Connaissances dans le Domaine de la Conception, Thèse de l’Institut National Polytechnique de Grenoble, November 19, 1997.

    Google Scholar 

  7. Hu, X., Pang, J., Pang, Y., Atwood, M., Sun, W., Regli, W.C., A survey on design ration- ale: representation, capture and retrieval, Proceedings of DETC’00, 2000 ASME Design Engineering Technical Conferences, September 10–13, 2000, Baltimore, Maryland, DETC2000/DFM-14008.

    Google Scholar 

  8. Draft Federal Information Processing Standards Publication 183, Announcing the Standard for Integration Definition for Function Modeling (IDEF0), http://www.idef.com, December 21, 1993.

    Google Scholar 

  9. Labrousse, M., Proposition d’un modèle conceptuel unifié pour la gestion dynamique des connaissances d’entreprise, PhD Thesis, Ecole Centrale of Nantes and University of Nantes, 1994.

    Google Scholar 

  10. Labrousse, M., Bernard, A., Véron, P., Generic FBS concept for Process/Product/Resource integration, in Tools and Methods of Competitive Engineering, Edited by Imre Horwvath, Paul Xirouchakis, Volume 1, pp. 384–394, Millpress Rotterdam Netherlands, ISBN 905966-018-8, 2004.

    Google Scholar 

  11. Mayer, R.J., Menzel, C.P., Painter, M.K., deWitte, P.S., Blinn, T., Perakath, B., Information integration for concurrent engineering (IICE) IDEF3 process description capture method report, http://www.idef.com, September 1995.

    Google Scholar 

  12. MML Working Group, Methodology and tools Oriented to Knowledge-based engineering Applications, MOKA User Guide (MOKA Modeling Language Core Definition), MOKA project – ESPRIT 25418, Deliverable D1.3 – Annex B, June 28, 2000.

    Google Scholar 

  13. Ouazzani-Touhami, M.A., Représentation dynamique du processus de conception: une perspective de capitalisation des historiques de conception, la méthode SAGEP, Thèse de doctorat de l’Ecole Centrale Paris, December 6, 1999.

    Google Scholar 

  14. Qian, L., Gero, J.S., Function-Behavior-Structure Paths and Their Role in Analogy-Based Design, AIEDAM 10 (4), pp. 289–312, 1996.

    Google Scholar 

  15. Umeda, Y., Tomiyama, T., Yoshikawa, H., Function, Behavior and Structure, in J.S. Gero (ed.): Applications of Artificial Intelligence in Engineering V, Vol 1: Design, Proceedings of the Fifth International Conference, Boston, USA, July 17–20, 1990, Computational Mechanics Publications, Southampton, Boston, Springer-Verlag, Berlin, pp. 177–193, 1990.

    Google Scholar 

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Labrousse, M., Bernard, A. (2008). FBS-PPRE, an Enterprise Knowledge Lifecycle Model. In: Bernard, A., Tichkiewitch, S. (eds) Methods and Tools for Effective Knowledge Life-Cycle-Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78431-9_16

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  • DOI: https://doi.org/10.1007/978-3-540-78431-9_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78430-2

  • Online ISBN: 978-3-540-78431-9

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