Knowledge Capture and Feedback System for Design and Manufacture
Date
2002
Authors
Cardew-Hall, Michael
Smith, Jeremy
Pantano, Victor
Hodgson, Peter Damian
Journal Title
Journal ISSN
Volume Title
Publisher
Society of Automotive Engineers Inc
Abstract
This paper identifies the need for AI based tools to supplement CAD/FEA methods. The approach discussed focuses on the capture and feedback of part based case lessons or issues that form a knowledge base for future use. Key aspects of a system to achieve
Description
Keywords
Keywords: Feedback systems; IT system; Job functions; Knowledge base; Knowledge capture; Modular approach; Stamping industry; Work procedure; Automobile exhibitions; Knowledge based systems; Data visualization
Citation
Collections
Source
Proceedings of the 2002 International Body Engineering Conference
Type
Conference paper