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

Hicham Jabrouni, Bernard Kamsu-Foguem (), Laurent Geneste () and Christophe Vaysse
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Hicham Jabrouni: LGP - Laboratoire Génie de Production - ENIT - Ecole Nationale d'Ingénieurs de Tarbes - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse, Alstom Transport - Alstom Transport
Bernard Kamsu-Foguem: LGP - Laboratoire Génie de Production - ENIT - Ecole Nationale d'Ingénieurs de Tarbes - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse
Laurent Geneste: LGP - Laboratoire Génie de Production - ENIT - Ecole Nationale d'Ingénieurs de Tarbes - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse
Christophe Vaysse: Alstom Transport - Alstom Transport

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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.

Keywords: Root cause analysis; Semantic similarity; Transferable belief model; Experience feedback; Railway industry (search for similar items in EconPapers)
Date: 2013-10
Note: View the original document on HAL open archive server: https://hal.science/hal-03526094v1
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Citations: View citations in EconPapers (1)

Published in Computers in Industry, 2013, 64 (8), pp.1035-1044. ⟨10.1016/j.compind.2013.07.004⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03526094

DOI: 10.1016/j.compind.2013.07.004

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