A Multi Agent Based Model for Airport Service Planning
Aviation 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 of machinery like vehicles are involved and lots of communication are involved. As one of...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2010-09-01
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| Series: | International Journal of Engineering Business Management |
| Subjects: | |
| Online Access: | http://www.intechopen.com/articles/show/title/a-multi-agent-based-model-for-airport-service-planning |
| _version_ | 1818399753032957952 |
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| author | W.H. Ip Vincent Cho Nick Chung George Ho |
| author_facet | W.H. Ip Vincent Cho Nick Chung George Ho |
| author_sort | W.H. Ip |
| collection | DOAJ |
| description | Aviation 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 of machinery 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. |
| first_indexed | 2024-12-14T07:25:41Z |
| format | Article |
| id | doaj.art-0e84f32b878d4f1892269bc156fe907c |
| institution | Directory Open Access Journal |
| issn | 1847-9790 |
| language | English |
| last_indexed | 2024-12-14T07:25:41Z |
| publishDate | 2010-09-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | International Journal of Engineering Business Management |
| spelling | doaj.art-0e84f32b878d4f1892269bc156fe907c2022-12-21T23:11:31ZengSAGE PublishingInternational Journal of Engineering Business Management1847-97902010-09-012293100A Multi Agent Based Model for Airport Service PlanningW.H. IpVincent ChoNick ChungGeorge HoAviation 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 of machinery 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.http://www.intechopen.com/articles/show/title/a-multi-agent-based-model-for-airport-service-planningmulti agentairport service planningvehicle allocationoptimizationsimulation |
| spellingShingle | W.H. Ip Vincent Cho Nick Chung George Ho A Multi Agent Based Model for Airport Service Planning International Journal of Engineering Business Management multi agent airport service planning vehicle allocation optimization simulation |
| title | A Multi Agent Based Model for Airport Service Planning |
| title_full | A Multi Agent Based Model for Airport Service Planning |
| title_fullStr | A Multi Agent Based Model for Airport Service Planning |
| title_full_unstemmed | A Multi Agent Based Model for Airport Service Planning |
| title_short | A Multi Agent Based Model for Airport Service Planning |
| title_sort | multi agent based model for airport service planning |
| topic | multi agent airport service planning vehicle allocation optimization simulation |
| url | http://www.intechopen.com/articles/show/title/a-multi-agent-based-model-for-airport-service-planning |
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