A framework to integrate design knowledge reuse and requirements management in engineering design
A framework to integrate design knowledge reuse and requirements management in engineering design
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
engineering design, design methodology, design reuse, design support, requirements management
37-48
Baxter, David
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Gao, James
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Case, Keith
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Harding, Jenny Jennifer
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Young, Bob
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Cochrane, Sean
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Dani, Shilpa
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Young, Robert
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August 2008
Baxter, David
a7d6ba3f-370f-493d-9202-218d5e6dfc54
Gao, James
b1f94e3a-f3ff-4059-923e-e546d0a8dcbb
Case, Keith
e4c5ed14-e82d-453e-9829-c20b43a3b550
Harding, Jenny Jennifer
cfd6f23e-8c5e-4a75-9daa-e14897314e68
Young, Bob
dfbdef33-b29c-4561-959c-d517774208fd
Cochrane, Sean
8f3d791c-54df-48bb-abf4-37ba919531cf
Dani, Shilpa
913b1ce8-29a5-4d0b-8fe0-a0891d9293a7
Young, Robert
bee24f8d-caf2-4842-8cc2-c204a7a5795c
Baxter, David, Gao, James and Case, Keith et al.
(2008)
A framework to integrate design knowledge reuse and requirements management in engineering design.
Robotics and Computer-Integrated Manufacturing, 24 (4), .
(doi:10.1016/j.rcim.2007.07.010).
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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e-pub ahead of print date: April 2007
Published date: August 2008
Keywords:
engineering design, design methodology, design reuse, design support, requirements management
Organisations:
Faculty of Business, Law and Art
Identifiers
Local EPrints ID: 377631
URI: http://eprints.soton.ac.uk/id/eprint/377631
ISSN: 0736-5845
PURE UUID: 83c5bce5-b942-4d70-9a10-8c14bef357e0
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Date deposited: 19 Jun 2015 14:23
Last modified: 15 Mar 2024 03:50
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Author:
James Gao
Author:
Keith Case
Author:
Jenny Jennifer Harding
Author:
Bob Young
Author:
Sean Cochrane
Author:
Shilpa Dani
Author:
Robert Young
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