A generalised data analysis approach for baggage handling systems simulation

Le, Vu Thanh, Zhang, James, Johnstone, Michael, Nahavandi, Saeid and Creighton, Doug 2012, A generalised data analysis approach for baggage handling systems simulation, in SMC 2012 : Proceedings of the 2012 IEEE International Conference on Systems, Man, and Cybernetics, IEEE, Piscataway, N.J., pp. 1681-1687, doi: 10.1109/ICSMC.2012.6377979.

Attached Files
Name Description MIMEType Size Downloads

Title A generalised data analysis approach for baggage handling systems simulation
Author(s) Le, Vu ThanhORCID iD for Le, Vu Thanh orcid.org/0000-0003-0648-6112
Zhang, JamesORCID iD for Zhang, James orcid.org/0000-0002-8367-9893
Johnstone, MichaelORCID iD for Johnstone, Michael orcid.org/0000-0002-3005-8911
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 Systems, Man and Cybernetics. Conference (2012 : Seoul, Korea)
Conference location Seoul, Korea
Conference dates 14-17 Oct. 2012
Title of proceedings SMC 2012 : Proceedings of the 2012 IEEE International Conference on Systems, Man, and Cybernetics
Editor(s) [Unknown]
Publication date 2012
Conference series IEEE Systems, Man and Cybernetics Conference
Start page 1681
End page 1687
Total pages 7
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) baggage handling system
conveyor system analysis
discrete event simulation
Summary Airport baggage handling systems are a critical infrastructure component within major airports, and essential to ensure smooth luggage transfer while preventing dangerous material being loaded onto aircraft. This paper proposes a standard set of measures to assess the expected performance of a baggage handling system through discrete event simulation. These evaluation methods also have application in the study of general network systems. Results from the application of these methods reveal operational characteristics of the studied BHS, in terms of metrics such as peak throughput, in-system time and system recovery time.
ISBN 9781467317146
Language eng
DOI 10.1109/ICSMC.2012.6377979
Field of Research 080110 Simulation and Modelling
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30050967

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 7 times in TR Web of Science
Scopus Citation Count Cited 13 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 698 Abstract Views, 3 File Downloads  -  Detailed Statistics
Created: Tue, 05 Mar 2013, 14:53:11 EST

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.