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Knowledge reuse in manufacturability analysis

Knowledge reuse in manufacturability analysis
Knowledge reuse in manufacturability analysis
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
knowledge representation, knowledge reuse, enterprise modelling, ontology, design for manufacture
0736-5845
508-513
Cochrane, Sean
8f3d791c-54df-48bb-abf4-37ba919531cf
Young, Robert
bee24f8d-caf2-4842-8cc2-c204a7a5795c
Case, Keith
e4c5ed14-e82d-453e-9829-c20b43a3b550
Harding, Jennifer
d1dae0d4-678b-4637-90c1-acd4e9ddcbcb
Gao, James
b1f94e3a-f3ff-4059-923e-e546d0a8dcbb
Dani, Shilpa
913b1ce8-29a5-4d0b-8fe0-a0891d9293a7
Baxter, D.I.
a7d6ba3f-370f-493d-9202-218d5e6dfc54
Cochrane, Sean
8f3d791c-54df-48bb-abf4-37ba919531cf
Young, Robert
bee24f8d-caf2-4842-8cc2-c204a7a5795c
Case, Keith
e4c5ed14-e82d-453e-9829-c20b43a3b550
Harding, Jennifer
d1dae0d4-678b-4637-90c1-acd4e9ddcbcb
Gao, James
b1f94e3a-f3ff-4059-923e-e546d0a8dcbb
Dani, Shilpa
913b1ce8-29a5-4d0b-8fe0-a0891d9293a7
Baxter, D.I.
a7d6ba3f-370f-493d-9202-218d5e6dfc54

Cochrane, Sean, Young, Robert, Case, Keith, Harding, Jennifer, Gao, James, Dani, Shilpa and Baxter, D.I. (2008) Knowledge reuse in manufacturability analysis. Robotics and Computer-Integrated Manufacturing, 24 (4), 508-513. (doi:10.1016/j.rcim.2007.07.003).

Record type: Article

Abstract

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

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More information

Published date: August 2008
Keywords: knowledge representation, knowledge reuse, enterprise modelling, ontology, design for manufacture
Organisations: Faculty of Business, Law and Art

Identifiers

Local EPrints ID: 377627
URI: https://eprints.soton.ac.uk/id/eprint/377627
ISSN: 0736-5845
PURE UUID: 4fc15600-d1ce-4a55-885b-cc6f4ab4d7f2
ORCID for D.I. Baxter: ORCID iD orcid.org/0000-0003-1983-7786

Catalogue record

Date deposited: 19 Jun 2015 13:56
Last modified: 29 Oct 2019 01:36

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Contributors

Author: Sean Cochrane
Author: Robert Young
Author: Keith Case
Author: Jennifer Harding
Author: James Gao
Author: Shilpa Dani
Author: D.I. Baxter ORCID iD

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