Manufacturing knowledge verification in design support systems
| dc.contributor.author | Cochrane, Sean | - |
| dc.contributor.author | Young, R. | - |
| dc.contributor.author | Case, K. | - |
| dc.contributor.author | Harding, J. | - |
| dc.contributor.author | Gao, James X. | - |
| dc.contributor.author | Dani, S. | - |
| dc.contributor.author | Baxter, David | - |
| dc.date.accessioned | 2012-03-20T23:04:27Z | |
| dc.date.available | 2012-03-20T23:04:27Z | |
| dc.date.issued | 2009-12-01T00:00:00Z | - |
| dc.description.abstract | This paper identifies the need for a verification methodology for manufacturing knowledge in design support systems; and proposes a suitable methodology based on the concept of ontological commitment and the PSL ontology (ISO/CD18629). The use of the verification procedures within an overall system development methodology is examined, and an understanding of how various categories of manufacturing knowledge (typical to design support systems) map onto the PSL ontology is developed. This work is also supported by case study material from industrial situations, including: the casting and machining of metallic components. The PSL ontology was found to support the verification of most categories of manufacturing knowledge, and was shown to be particularly suited to process planning representations. Additional concepts and verification procedures were however needed to verify relationships between products and manufacturing processes. Suitable representational concepts and verification procedures were therefore developed, and integrated into the proposed knowledge verification methodology. | en_UK |
| dc.identifier.issn | 0020-7543 | - |
| dc.identifier.uri | http://dx.doi.org/10.1080/00207540701802452 | - |
| dc.identifier.uri | http://dspace.lib.cranfield.ac.uk/handle/1826/5323 | |
| dc.publisher | Taylor & Francis | en_UK |
| dc.title | Manufacturing knowledge verification in design support systems | en_UK |
| dc.type | Article | - |