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Knowledge reuse in manufacturability analysis

Knowledge reuse in manufacturability analysis

Cochrane, Sean, Young, Robert, Case, Keith, Harding, Jennifer, Gao, James ORCID: 0000-0001-5625-3654, Dani, Shilpa and Baxter, David (2008) Knowledge reuse in manufacturability analysis. Robotics and Computer Integrated Manufacturing, 24 (4). pp. 508-513. ISSN 0736-5845 (doi:

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This paper describes a set of modelling guidelines for the improved reuse of manufacturing knowledge in decision support systems. The work draws on research into product and manufacturing knowledge models, and uses a case study based on a simplified jet engine combustion chamber casing to illustrate the proposed guidelines. The paper describes three principles of reuse, i.e., the separation of information from knowledge, the separation of product knowledge from manufacturing process knowledge, and the correct classification of manufacturing knowledge. Whilst the first two principles were found to be well established in the research literature, guidance on how to apply classification hierarchies for optimum reuse was found to be insufficient. The guidelines presented in this paper therefore provide improved guidance on how to classify manufacturing knowledge for optimum reuse.

Item Type: Article
Additional Information: [1] This paper is included in a Special Issue of RCIM for ICMR2005: Third International Conference on Manufacturing Research, held 6-9 September 2005, Cranfield University, Cranfield, UK. The issue was guest edited by James Gao and David Baxter. [2] This paper is wrongly affiliated, although the paper was published in 2008, the author (James Gao) joined University of Greenwich in 2006 and this should have been amended. So the paper should be included as Greenwich paper. It was a mistake that I did not check and change the affiliation in 2008.
Uncontrolled Keywords: knowledge representation, knowledge reuse, enterprise modelling, ontology, design for manufacture
Subjects: T Technology > T Technology (General)
T Technology > TS Manufactures
Pre-2014 Departments: School of Engineering
School of Engineering > Department of Engineering Systems
Related URLs:
Last Modified: 27 Jan 2020 15:58

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