Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/5756
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dc.contributorDepartment of Management and Marketing-
dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorIp, WH-
dc.creatorCho, WSV-
dc.creatorChung, N-
dc.creatorHo, TS-
dc.date.accessioned2014-12-11T08:22:36Z-
dc.date.available2014-12-11T08:22:36Z-
dc.identifier.urihttp://hdl.handle.net/10397/5756-
dc.language.isoenen_US
dc.publisherSAGE Publicationsen_US
dc.rightsThe article is licensed under a Creative Commons Attribution 3.0 Unported License <http://creativecommons.org/licenses/by/3.0/>en_US
dc.subjectMulti agenten_US
dc.subjectAirport service planningen_US
dc.subjectVehicle allocationen_US
dc.subjectOptimizationen_US
dc.subjectSimulationen_US
dc.titleA multi agent based model for airport service planningen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationAuthor name used in this publication: Vincent Choen_US
dc.description.otherinformationAuthor name used in this publication: George Hoen_US
dc.identifier.spage93-
dc.identifier.epage100-
dc.identifier.volume2-
dc.identifier.issue2-
dc.identifier.doi10.5772/9718-
dcterms.abstractAviation industry is highly dynamic and demanding in nature that time and safety are the two most important factors while one of the major sources of delay is aircraft on ground because of it complexity, a lot o fmachinery like vehicles are involved and lots of communication are involved. As one of the aircraft ground services providers in Hong Kong International Airport, China Aircraft Services Limited (CASL) aims to increase competitiveness by better its service provided while minimizing cost is also needed. One of the ways is to optimize the number of maintenance vehicles allocated in order to minimize chance of delay and also operating costs. In the paper, an agent-based model is proposed for support decision making in vehicle allocation. The overview of the aircrafts ground services procedures is firstly mentioned with different optimization methods suggested by researchers. Then, the agent-based approach is introduced and in the latter part of report and a multi-agent system is built and proposed which is decision supportive for CASL in optimizing the maintenance vehicles’ allocation. The application provides flexibility for inputting number of different kinds of vehicles, simulation duration and aircraft arrival rate in order to simulation different scenarios which occurs in HKIA.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational journal of engineering business management, 2010, v. 2, no. 2, p. 93-100-
dcterms.isPartOfInternational journal of engineering business management-
dcterms.issued2010-
dc.identifier.eissn1847-9790-
dc.identifier.rosgroupidr53466-
dc.description.ros2010-2011 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
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