Design process knowledge reuse challenges and issues

dc.contributor.authorBaxter, David-
dc.contributor.authorGao, X.-
dc.contributor.authorRoy, Rajkumar-
dc.date.accessioned2011-03-29T23:08:07Z
dc.date.available2011-03-29T23:08:07Z
dc.date.issued2008-01-01T00:00:00Z-
dc.description.abstractProduct 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.en_UK
dc.identifier.issn1686-4360-
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/3174
dc.language.isoen_UKen_UK
dc.publisherCad Solutionsen_UK
dc.titleDesign process knowledge reuse challenges and issuesen_UK
dc.typeArticleen_UK

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