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Manufacturing knowledge verification in design support systems

Manufacturing knowledge verification in design support systems

Cochrane, Sean, Young, Robert, Case, Keith, Harding, Jennifer, Gao, James, Dani, Shilpa and Baxter, David (2009) Manufacturing knowledge verification in design support systems. International Journal of Production Research, 47 (12). pp. 3179-3204. ISSN 0020-7543 (Print), 1366–588X (Online) (doi:10.1080/00207540701802452)

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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.

Item Type: Article
Additional Information: [1] Official journal of The International Foundation for Production Research (IFPR).
Uncontrolled Keywords: knowledge representation, validation and verification, enterprise modelling, ontology, design for manufacture
Subjects: T Technology > T Technology (General)
T Technology > TS Manufactures
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments: School of Engineering
School of Engineering > Department of Engineering Systems
Related URLs:
Last Modified: 14 Oct 2016 09:07
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/2643

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