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Analysis reuse exploiting taxonomical information and belief assignment in industrial problem solving

Jabrouni, Hicham and Kamsu-Foguem, Bernard and Geneste, Laurent and Vaysse, Christophe Analysis reuse exploiting taxonomical information and belief assignment in industrial problem solving. (2013) Computers in Industry, 64 (8). 1035-1044. ISSN 0166-3615

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Official URL: http://dx.doi.org/10.1016/j.compind.2013.07.004

Abstract

To take into account the experience feedback on solving complex problems in business is deemed as a way to improve the quality of products and processes. Only a few academic works, however, are concerned with the representation and the instrumentation of experience feedback systems. We propose, in this paper, a model of experiences and mechanisms to use these experiences. More specifically, we wish to encourage the reuse of already performed expert analysis to propose a priori analysis in the solving of a new problem. The proposal is based on a representation in the context of the experience of using a conceptual marker and an explicit representation of the analysis incorporating expert opinions and the fusion of these opinions. The experience feedback models and inference mechanisms are integrated in a commercial support tool for problem solving methodologies. The results obtained to this point have already led to the definition of the role of ‘‘Rex Manager’’ with principles of sustainable management for continuous improvement of industrial processes in companies.

Item Type:Article
Additional Information:Thanks to Elsevier editor. The definitive version is available at http://www.sciencedirect.com The original PDF of the article can be found at http://dx.doi.org/10.1016/j.compind.2013.07.004
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Other partners > ALSTOM Transport (FRANCE)
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Deposited By: Bernard KAMSU FOGUEM
Deposited On:30 Sep 2013 09:12

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