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Estimating performance indexes of a baggage handling system using metamodels
conference contribution
posted on 2009-01-01, 00:00 authored by Abbas KhosraviAbbas Khosravi, Saeid Nahavandi, Douglas CreightonDouglas CreightonIn this study, we develop some deterministic metamodels to quickly and precisely predict the future of a technically complex system. The underlying system is essentially a stochastic, discrete event simulation model of a big baggage handling system. The highly detailed simulation model of this is used for conducting some experiments and logging data which are then used for training artificial neural network metamodels. Demonstrated results show that the developed metamodels are well able to predict different performance measures related to the travel time of bags within this system. In contrast to the simulation models which are computationally expensive and expertise extensive to be developed, run, and maintained, the artificial neural network metamodels could serve as real time decision aiding tools which are considerably fast, precise, simple to use, and reliable.
History
Event
IEEE Industrial Technology. International Conference (2009 : Gippsland, Victoria)Pagination
1 - 6Publisher
IEEELocation
Gippsland, VictoriaPlace of publication
Piscataway, N. J.Publisher DOI
Start date
2009-02-10End date
2009-02-13ISBN-13
9781424435050Language
engNotes
©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.Publication classification
E1 Full written paper - refereedCopyright notice
2009, IEEETitle of proceedings
ICIT 2009 : Future technology in service of regional industry : Proceedings of the IEEE Industrial Tecnology 2009 international conferenceUsage metrics
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