A Framework for a Knowledge-Based System for Risk Management in Concurrent Engineering

Emmanuel Caillaud (1, 2) , Rose Crossland , Didier Gourc (2) , Chris Mcmahon (3) , Luis Antonio Garcia (4, 2)

1 LGeco - Laboratoire de Génie de la Conception
2 CGI - Centre Génie Industriel
3 University of Bristol [Bristol]
4 Généthon

Knowledge is a requirement for concurrent engineering, and therefore an approach to capture and organise the different knowledge to be taken into account in concurrent engineering is proposed. This approach, known as the ``MEthodology for Knowledge Engineering for Concurrent Engineering'' (MEKECE) is a dedicated application of knowledge engineering methodologies to concurrent engineering that involves a combination of case based reasoning and expert systems approaches aimed at managing risk. To manage concurrent engineering specific risks, the knowledge of the different tasks constituting product development must be captured and organised, and information on the causes of risks that have a threshold effect on time and on cost must be available in a convenient form for the participants in the process. The framework of this knowledge based system for risk management in concurrent engineering is presented.

Mots clés: concurrent engineering; 2; system; design; manufacturing; knowledge; knowledge based; knowledge based system; risk management

Domaines: Sciences de l'ingénieur [physics]

Emmanuel Caillaud, Rose Crossland, Didier Gourc, Chris Mcmahon, Luis Antonio Garcia. A Framework for a Knowledge-Based System for Risk Management in Concurrent Engineering. Concurrent Engineering: Research and Applications, 1999, 7 (3), p. 257 - 267. ⟨10.1177/1063293X9900700307⟩. ⟨hal-01591968⟩