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Continuous Improvement Through Knowledge-Guided Analysis in Experience Feedback

Jabrouni, Hicham and Kamsu-Foguem, Bernard and Geneste, Laurent and Vaysse, Christophe Continuous Improvement Through Knowledge-Guided Analysis in Experience Feedback. (2011) Engineering Applications of Artificial Intelligence, 24 (8). 1419-1431. ISSN 0952-1976

(Document in English)

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Official URL: http://dx.doi.org/10.1016/j.engappai.2011.02.015


Continuous improvement in industrial processes is increasingly a key element of competitiveness for industrial systems. The management of experience feedback in this framework is designed to build, analyze and facilitate the knowledge sharing among problem solving practitioners of an organization in order to improve processes and products achievement. During Problem Solving Processes, the intellectual investment of experts is often considerable and the opportunities for expert knowledge exploitation are numerous: decision making, problem solving under uncertainty, and expert configuration. In this paper, our contribution relates to the structuring of a cognitive experience feedback framework, which allows a flexible exploitation of expert knowledge during Problem Solving Processes and a reuse such collected experience. To that purpose, the proposed approach uses the general principles of root cause analysis for identifying the root causes of problems or events, the conceptual graphs formalism for the semantic conceptualization of the domain vocabulary and the Transferable Belief Model for the fusion of information from different sources. The underlying formal reasoning mechanisms (logic-based semantics) in conceptual graphs enable intelligent information retrieval for the effective exploitation of lessons learned from past projects. An example will illustrate the application of the proposed approach of experience feedback processes formalization in the transport industry sector.

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.engappai.2011.02.015
HAL Id:hal-03545191
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Laboratory name:
Laboratoire Génie de Production - LGP (Tarbes, France) - Production Automatisée - Retour d'Expérience
Deposited On:06 Dec 2011 11:59

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