A multi-agent system for airline operations control

Detalhes bibliográficos
Autor(a) principal: António J. M. Castro
Data de Publicação: 2009
Outros Autores: Eugénio Oliveira
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/76287
Resumo: The Airline Operations Control Center (AOCC) tries to solve unexpected problems that might occur during the airline operation. Problems related to aircrafts. crewmembers and passengers are common and the actions towards the solution of these problems are usually known as operations recovery. In this paper we present the implementation of a Distributed Multi-Agent System (MAS) representing the existing roles in an AOCC. This MAS has several specialized software agents that implement different algorithms, competing to find the best solution for each problem and that include not only operational costs but, also, quality costs so that passenger satisfaction can be considered in the final decision. We present a real case Study where a crew recovery problem is solved. We show that it is possible to find valid solutions, with better passenger satisfaction and, in certain conditions, without increasing significantly the operational costs.
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spelling A multi-agent system for airline operations controlCiência de computadores, Ciências da computação e da informaçãoComputer science, Computer and information sciencesThe Airline Operations Control Center (AOCC) tries to solve unexpected problems that might occur during the airline operation. Problems related to aircrafts. crewmembers and passengers are common and the actions towards the solution of these problems are usually known as operations recovery. In this paper we present the implementation of a Distributed Multi-Agent System (MAS) representing the existing roles in an AOCC. This MAS has several specialized software agents that implement different algorithms, competing to find the best solution for each problem and that include not only operational costs but, also, quality costs so that passenger satisfaction can be considered in the final decision. We present a real case Study where a crew recovery problem is solved. We show that it is possible to find valid solutions, with better passenger satisfaction and, in certain conditions, without increasing significantly the operational costs.20092009-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/76287eng10.1007/978-3-642-00487-2_17António J. M. CastroEugénio Oliveirainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T14:00:00Zoai:repositorio-aberto.up.pt:10216/76287Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:52:03.402795Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A multi-agent system for airline operations control
title A multi-agent system for airline operations control
spellingShingle A multi-agent system for airline operations control
António J. M. Castro
Ciência de computadores, Ciências da computação e da informação
Computer science, Computer and information sciences
title_short A multi-agent system for airline operations control
title_full A multi-agent system for airline operations control
title_fullStr A multi-agent system for airline operations control
title_full_unstemmed A multi-agent system for airline operations control
title_sort A multi-agent system for airline operations control
author António J. M. Castro
author_facet António J. M. Castro
Eugénio Oliveira
author_role author
author2 Eugénio Oliveira
author2_role author
dc.contributor.author.fl_str_mv António J. M. Castro
Eugénio Oliveira
dc.subject.por.fl_str_mv Ciência de computadores, Ciências da computação e da informação
Computer science, Computer and information sciences
topic Ciência de computadores, Ciências da computação e da informação
Computer science, Computer and information sciences
description The Airline Operations Control Center (AOCC) tries to solve unexpected problems that might occur during the airline operation. Problems related to aircrafts. crewmembers and passengers are common and the actions towards the solution of these problems are usually known as operations recovery. In this paper we present the implementation of a Distributed Multi-Agent System (MAS) representing the existing roles in an AOCC. This MAS has several specialized software agents that implement different algorithms, competing to find the best solution for each problem and that include not only operational costs but, also, quality costs so that passenger satisfaction can be considered in the final decision. We present a real case Study where a crew recovery problem is solved. We show that it is possible to find valid solutions, with better passenger satisfaction and, in certain conditions, without increasing significantly the operational costs.
publishDate 2009
dc.date.none.fl_str_mv 2009
2009-01-01T00:00:00Z
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/76287
url https://hdl.handle.net/10216/76287
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1007/978-3-642-00487-2_17
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dc.format.none.fl_str_mv application/pdf
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