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

Author:

Caillaud Emmanuel1,Gourc Didier1,Garcia Luis Antonio1,Crossland Rose2,McMahon Chris2

Affiliation:

1. Centre Genie Industriel. Ecole des Mines d'Albi-Carmaux, Campus Jarlard-Route de Teillet, 81013 Albi CT Cedex 09, France

2. Faculty of Engineering, University of Bristol, Queen's Building-University Walk, Bristol BS8 1 TR, England

Abstract

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 or ganised, 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 pre sented.

Publisher

SAGE Publications

Subject

Computer Science Applications,General Engineering,Modeling and Simulation

Reference36 articles.

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