TY - JOUR
T1 - Modelling an assembly process using a close coupled generative cost model and a discrete event simulation
AU - Marsh, Robert
AU - Jonik, Martin
AU - Lanham, John
AU - Cheung, Wai Ming
AU - Newnes, Linda
AU - Mileham, Antony
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - generative cost model
KW - discrete event simulation
KW - assembly process planning
KW - resource description framework (rdf)
KW - data exchange
KW - shared ontology
UR - https://www.scopus.com/pages/publications/77249094215
U2 - 10.1080/09511920903529248
DO - 10.1080/09511920903529248
M3 - Article
SN - 0951-192X
VL - 23
SP - 257
EP - 269
JO - International Journal of Computer Integrated Manufacturing
JF - International Journal of Computer Integrated Manufacturing
IS - 3
ER -
