MEJIA GUTIERREZ, Ricardo; FISCHER, Xavier; BENNIS, Fouad

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Licence d’utilisation du document

MEJIA GUTIERREZ, Ricardo
Institut de Recherche en Communications et en Cybernétique de Nantes [IRCCyN]
ESTIA - Institute of technology [ESTIA]

FISCHER, Xavier
ESTIA - Institute of technology [ESTIA]
Transferts, écoulements, fluides, énergétique [TREFLE]

BENNIS, Fouad
Institut de Recherche en Communications et en Cybernétique de Nantes [IRCCyN]

Langue

Communication dans un congrès

Ce document a été publié dans

Proceedings of the IEEM-2007, IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2007), 2007-12. 2007-12p. P-0393

Résumé en anglais

A methodology for distributed knowledge modeling will be presented in this article, in order to contribute to a better decision making during design problems analysis. An optimal design process refers to setting up coherent numerical models and it requires a well structured problem definition. However, a lack of downstream information in early stages of product development leads to a complicated elicitation task that became an issue due to nowadays distributed environments. A Multi-Agent approach is proposed to support the distributed knowledge elicitation process. A set of agents will guide members from the distributed design team, throughout the product life cycle, to extract relevant information and analyze it. The interaction among agents will highlight potential incoherencies during the modeling process, in order to enable partners to avoid inconsistent information. A coherent knowledge base is then constructed and ready to be used to create models to be analyzed by traditional inference engines such as optimization solvers, constraint satisfaction programming, etc.< Réduire

Mots clés en anglais

distributed knowledge modeling

multi agents system

interactive product design

distributed team

decision making

URI

https://oskar-bordeaux.fr/handle/20.500.12278/206905

Unités de recherche

ESTIA - Recherche