Title
Analysis reuse exploiting taxonomical information and belief assignment in industrial problem solving
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.
Year
DOI
Venue
2013
10.1016/j.compind.2013.07.004
Computers in Industry
Keywords
DocType
Volume
belief assignment,industrial problem,new problem,Rex Manager,experience feedback model,experience feedback system,analysis reuse,explicit representation,complex problem,taxonomical information,expert analysis,expert opinion,academic work,experience feedback
Journal
64
Issue
ISSN
Citations 
8
0166-3615
7
PageRank 
References 
Authors
0.44
29
4
Name
Order
Citations
PageRank
Hicham Jabrouni1271.43
Bernard Kamsu-Foguem231820.94
Laurent Geneste310714.82
Christophe Vaysse4271.43