Modelling an assembly process using a close coupled generative cost model and a discrete event simulation
Modelling an assembly process using a close coupled generative cost model and a discrete event simulation
Static system modelling for a manufacturing organisation does not closely reflect the manufacturing process. A dynamic model more closely simulates the processes involved, and can provide a richer model. This also applies to cost modelling, where some operational details are assumed or obtained from other systems. In order to provide a holistic modelling system, an experimental system has been built closely to couple a generative cost modelling system and a discrete event simulation system. This paper describes the system, its advantages and shortcomings, and the results obtained for the planning of an assembly process.
257-269
Marsh, R.
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Cheung, W.M.
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Mileham, A.R.
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Newnes, L.B.
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Lanham, J.D.
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Jonik, M.
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Marsh, R.
fd873210-a928-4042-8b8f-effe5cd3d7ad
Cheung, W.M.
ed8b71a1-88f7-417d-9c73-566af8c88d0e
Mileham, A.R.
14188dcf-99e4-4746-9bb8-64a939de5499
Newnes, L.B.
7435cced-3261-4db9-9534-478a37299041
Lanham, J.D.
07f1d8f7-f075-4bd6-9529-8065af7234f8
Jonik, M.
e6400d2b-07d6-4193-b15e-100b69d03cef
Marsh, R., Cheung, W.M. and Mileham, A.R. et al.
(2010)
Modelling an assembly process using a close coupled generative cost model and a discrete event simulation.
International Journal of Computer Integrated Manufacturing, 23 (3), .
(doi:10.1080/09511920903529248).
Abstract
Static system modelling for a manufacturing organisation does not closely reflect the manufacturing process. A dynamic model more closely simulates the processes involved, and can provide a richer model. This also applies to cost modelling, where some operational details are assumed or obtained from other systems. In order to provide a holistic modelling system, an experimental system has been built closely to couple a generative cost modelling system and a discrete event simulation system. This paper describes the system, its advantages and shortcomings, and the results obtained for the planning of an assembly process.
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e-pub ahead of print date: 19 February 2010
Organisations:
Computational Engineering & Design Group
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Local EPrints ID: 197895
URI: http://eprints.soton.ac.uk/id/eprint/197895
ISSN: 0951-192X
PURE UUID: 0a35f55e-68f2-4ce9-943f-6612e88c2e0e
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Date deposited: 04 Nov 2011 08:26
Last modified: 14 Mar 2024 04:11
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Author:
W.M. Cheung
Author:
A.R. Mileham
Author:
L.B. Newnes
Author:
J.D. Lanham
Author:
M. Jonik
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