You are not logged in.
Openly accessible

Estimating performance indexes of a baggage handling system using metamodels

Khosravi, Abbas, Nahavandi, Saeid and Creighton, Doug 2009, Estimating performance indexes of a baggage handling system using metamodels, in ICIT 2009 : Future technology in service of regional industry : Proceedings of the IEEE Industrial Tecnology 2009 international conference, IEEE, Piscataway, N. J., pp. 1-6, doi: 10.1109/ICIT.2009.4939626.

Attached Files
Name Description MIMEType Size Downloads
SYMPLECTIC-LICENCE Symplectic Licence Click to show the corresponding preview/stream 1.47KB 14
nahavandi-estimatingperformance-2009.pdf Published version application/pdf 335.15KB 553

Title Estimating performance indexes of a baggage handling system using metamodels
Author(s) Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Creighton, DougORCID iD for Creighton, Doug orcid.org/0000-0002-9217-1231
Conference name IEEE Industrial Technology. International Conference (2009 : Gippsland, Victoria)
Conference location Gippsland, Victoria
Conference dates 10 - 13 Feb. 2009
Title of proceedings ICIT 2009 : Future technology in service of regional industry : Proceedings of the IEEE Industrial Tecnology 2009 international conference
Editor(s) [Unknown]
Publication date 2009
Conference series IEEE Industrial Technology International Conference
Start page 1
End page 6
Total pages 6
Publisher IEEE
Place of publication Piscataway, N. J.
Summary In 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.
Notes ©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.
ISBN 9781424435050
Language eng
DOI 10.1109/ICIT.2009.4939626
Field of Research 080602 Computer-Human Interaction
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2009, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30029267

Document type: Conference Paper
Collections: Centre for Intelligent Systems Research
Open Access Collection
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 6 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 661 Abstract Views, 569 File Downloads  -  Detailed Statistics
Created: Fri, 11 Jun 2010, 20:45:30 EST by facadmin

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.