Manufacturing Knowledge Verification Design Support Systems

Sean David Cochrane (1) , R I M Young (2) , K Case (3) , J A Harding (4) , Shilpa Dani (4) , James X Gao (5) , David Ian Baxter (6)

1 Wolfson School
2 Wolfson School of Mech and Man Engineering
3 Wolfson School of Mech and Manufacturing Engineering
4 Wolfson School of Mech and Man Engineering
5 School of Industrial and Manufacturing Science
6 Department of Manufacturing

This paper identifies the need for a standards based knowledge verification methodology for manufacturing facility representations 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 these 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 examples and 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. It 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.

Mots clés: Physical Sciences

Sean David Cochrane, R I M Young, K Case, J A Harding, Shilpa Dani, et al.. Manufacturing Knowledge Verification Design Support Systems. International Journal of Production Research, 2009, 47 (12), pp.3179-3204. ⟨10.1080/00207540701802452⟩. ⟨hal-00513016⟩