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Design process knowledge reuse challenges and issues

By David Baxter, X. Gao and Rajkumar Roy

Abstract

Product knowledge support needs are compared in two companies with different production volumes and product complexity. Knowledge support requirements identified include: function, performance data, requirements data, common parts, regulatory guidelines and layout data. A process based data driven knowledge reuse method is evaluated in light of the identified product knowledge needs. The evaluation takes place through developing a pilot case with each company. It is found that the method provides more benefit to the high complexity design domain, in which a significant amount of work takes place at the conceptual design stages, relying on a conceptual product representation. There is not such a clear value proposition in a design environment whose main challenge is layout design and the application of standard parts and features. The method supports the requirement for conceptual product representation but does not fully support a standard parts library

Publisher: Cad Solutions
Year: 2008
OAI identifier: oai:dspace.lib.cranfield.ac.uk:1826/3174
Provided by: Cranfield CERES
Journal:

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Citations

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