Simulation-based input loading condition optimisation of airport baggage handling systems Le, Vu T., Creighton, Doug and Nahavandi, Saeid 2007, Simulation-based input loading condition optimisation of airport baggage handling systems, in ITSC 2007 : Proceedings of the 2007 IEEE Intelligent transportation Systems Conference, IEEE, Piscataway, N. J., pp. 574-579, doi: 10.1109/ITSC.2007.4357773. Attached Files Name Description MIMEType Size Downloads le-simulationbased-2007.pdf Published version application/pdf 451.60KB 1379 Title Simulation-based input loading condition optimisation of airport baggage handling systems Author(s) Le, Vu T. orcid.org/0000-0003-0648-6112 Creighton, Doug orcid.org/0000-0002-9217-1231 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Conference name Intelligent transportation Systems Conference (2007 : Seattle, Washington) Conference location Seattle, Washington Conference dates 30 September - 3 October 2007 Title of proceedings ITSC 2007 : Proceedings of the 2007 IEEE Intelligent transportation Systems Conference Editor(s) [Unknown] Publication date 2007 Conference series Intelligent transportation Systems Conference Start page 574 End page 579 Publisher IEEE Place of publication Piscataway, N. J. Summary Scheduling check-in station operations are a challenging problem within airport systems. Prior to determining check-in resource schedules, an important step is to estimate the Baggage Handling System (BHS) operating capacity under non-stationary conditions. This ensures that check-in stations are not overloaded with bags, which would adversely affect the system and cause cascade stops and blockages. Cascading blockages can potentially lead to a poor level of service and in worst scenario a customer may depart without their bags. This paper presents an empirical study of a multiobjective problem within a BHS system. The goal is to estimate near optimal input operating conditions, such that no blockages occurs at check-in stations, while minimising the baggage travel time and maximising the throughput performance measures. We provide a practical hybrid simulation and binary search technique to determine a near optimal input throughput operating condition. The algorithm generates capacity constraint information that may be used by a scheduler to plan check-in operations based on flight arrival schedules. Notes ©2007 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 9781424413966 Language eng DOI 10.1109/ITSC.2007.4357773 Field of Research 091302 Automation and Control Engineering HERDC Research category E1.1 Full written paper - refereed Copyright notice ©2007, IEEE Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30026545 Document type: Conference Paper Collections: Institute for Intelligent Systems Research and Innovation (IISRI) Open Access Collection GTP Research Related Links Link Description Connect to published version Go to link with your DU access privileges     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 Thu, 01 Apr 2010, 08:31:40 EST Tue, 13 Apr 2010, 10:57:45 EST Tue, 13 Apr 2010, 10:58:53 EST Wed, 14 Apr 2010, 10:03:48 EST Wed, 14 Apr 2010, 10:04:52 EST Sun, 18 Apr 2010, 12:13:42 EST Sun, 18 Apr 2010, 12:14:24 EST Wed, 08 Sep 2010, 12:18:08 EST Wed, 08 Sep 2010, 12:19:14 EST Fri, 16 Mar 2012, 17:59:04 EST Tue, 22 May 2012, 11:09:52 EST Tue, 22 May 2012, 11:10:31 EST Tue, 22 May 2012, 11:18:16 EST Tue, 22 May 2012, 11:20:17 EST Tue, 22 May 2012, 11:42:45 EST Wed, 02 Jul 2014, 15:06:47 EST Fri, 10 Oct 2014, 08:38:30 EST Tue, 06 Sep 2016, 15:02:37 EST Tue, 05 Dec 2017, 09:14:20 EST Fri, 07 Sep 2018, 14:54:40 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 22 times in Scopus Search Google Scholar Access Statistics: 1233 Abstract Views, 1389 File Downloads  -  Detailed Statistics Created: Thu, 01 Apr 2010, 08:31:40 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.