Design process knowledge reuse challenges and issues
dc.contributor.author | Baxter, David | - |
dc.contributor.author | Gao, X. | - |
dc.contributor.author | Roy, Rajkumar | - |
dc.date.accessioned | 2011-03-29T23:08:07Z | |
dc.date.available | 2011-03-29T23:08:07Z | |
dc.date.issued | 2008-01-01T00:00:00Z | - |
dc.description.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. | en_UK |
dc.identifier.issn | 1686-4360 | - |
dc.identifier.uri | http://dspace.lib.cranfield.ac.uk/handle/1826/3174 | |
dc.language.iso | en_UK | en_UK |
dc.publisher | Cad Solutions | en_UK |
dc.title | Design process knowledge reuse challenges and issues | en_UK |
dc.type | Article | en_UK |
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