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Knowledge capture and feedback system for design and manufacture

conference contribution
posted on 2002-12-01, 00:00 authored by M J Cardew-Hall, J I Smith, V Pantano, Peter HodgsonPeter Hodgson
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 this are presented. These include: Issue or problem data to be collected at source, the system to be visually based, enhance current job function, integrated with existing IT systems and work procedures, data to be readily accessible and consistent, modular approach functional access to data. The elements of a knowledge capture system for the stamping industry based on the above is discussed. Copyright © 2002 Society of Automotive Engineers, Inc.

History

Publisher

SAE

Location

Paris, France

Place of publication

Warrendale, Pa.

Start date

2002-07-09

End date

2002-07-11

Publication classification

EN.1 Other conference paper

Title of proceedings

SAE Technical Papers

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