A Competence Approach in the Experience Feedback Process

Abstract

Abstract:The capitalisation of the know-how and experiences becomes a major issue of the industrial world, especially in large companies. Lesson learned techniques and experience capitalisation are possible methods for allowing the companies to increase their knowledge on their internal processes. This paper aims at presenting a study carried out with Alstom Transport on the "Experience Feedback" and "Lesson Learned" problems. We show how an Experience Feedback (EF) process, mainly aiming at transforming data into information, then information into knowledge, can benefit from an explicit modelling of concepts like role, competence and knowledge of the actors. We also show how these concepts may help to better identify the needs and potentialities of the actors, with a twofold goal: increasing the efficiency and acceptability of the EF system to be implemented on one hand, and improving the implication of the human resources in the technical processes on the other hand.

Requirements modelling and formal analysis using graph operations

“…Accordingly, and again similarly to work done by (Gouyon et al 2004) in automation engineering context, our graph-based approach would facilitate the generation of purposeful system requirements leading to better quality systems (Rolland and Prakash 2000) and therefore highlights a pragmatic use of formal analysis within an engineering process. The current application of our research is the integration into a connectionist-symbolic framework (Vilhelm et al 2000) aiming to support the decision-making process in medical domain and future direction are related to the capitalization and the diffusion of knowledge from experience feedback (Hermosillo et al 2005) in an organization.…”