Heuristics to solve the integrated airline crew assignment problem
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of Transport Literature |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2238-10312015000100025 |
Resumo: | A typical problem related to airline crew management consists of optimally assigning the required crew members to planned flights for a given period of time, while complying with a variety of labor regulations, safety rules and policies of the airline. This problem, called crew assignment problem (CAP), is of the NPHard class. So, it is usually divided into two independent subproblems, crew pairing problem (CPP) and crew rostering problem (CRP), modeled and solved sequentially. This division does not provide a global treatment to the CAP in terms of total cost and quality of the final solution. The state of the art involves the integrated solution of CAP, with both subproblems (CPP and CRP) solved simultaneously. It still requires high computational effort. Its combinatorial nature makes it difficult (or even impossible) to be solved by exact methods. The methodology proposed in this research provides an integrated solution of the CAP with heuristic procedures. The methodology was tested to solve instances related to small and medium-sized Brazilian airlines. The results were also compared with those obtained through an exact model adapted from the literature. |
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Heuristics to solve the integrated airline crew assignment problemair transportationairline crew assignmentcombinatorial optimization heuristicsA typical problem related to airline crew management consists of optimally assigning the required crew members to planned flights for a given period of time, while complying with a variety of labor regulations, safety rules and policies of the airline. This problem, called crew assignment problem (CAP), is of the NPHard class. So, it is usually divided into two independent subproblems, crew pairing problem (CPP) and crew rostering problem (CRP), modeled and solved sequentially. This division does not provide a global treatment to the CAP in terms of total cost and quality of the final solution. The state of the art involves the integrated solution of CAP, with both subproblems (CPP and CRP) solved simultaneously. It still requires high computational effort. Its combinatorial nature makes it difficult (or even impossible) to be solved by exact methods. The methodology proposed in this research provides an integrated solution of the CAP with heuristic procedures. The methodology was tested to solve instances related to small and medium-sized Brazilian airlines. The results were also compared with those obtained through an exact model adapted from the literature.Sociedade Brasileira de Planejamento dos Transportes2015-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2238-10312015000100025Journal of Transport Literature v.9 n.1 2015reponame:Journal of Transport Literatureinstname:Sociedade Brasileira de Planejamento dos Transportes (SBPT)instacron:SBPTR10.1590/2238-1031.jtl.v9n1a5info:eu-repo/semantics/openAccessGomes,Wagner P.Gualda,Nicolau D. F.eng2015-08-04T00:00:00Zoai:scielo:S2238-10312015000100025Revistahttp://www.journal-of-transport-literature.org/https://old.scielo.br/oai/scielo-oai.php||alessandro.oliveira@pq.cnpq.br|| editor.jtl@gmail.com2238-10312238-1031opendoar:2015-08-04T00:00Journal of Transport Literature - Sociedade Brasileira de Planejamento dos Transportes (SBPT)false |
dc.title.none.fl_str_mv |
Heuristics to solve the integrated airline crew assignment problem |
title |
Heuristics to solve the integrated airline crew assignment problem |
spellingShingle |
Heuristics to solve the integrated airline crew assignment problem Gomes,Wagner P. air transportation airline crew assignment combinatorial optimization heuristics |
title_short |
Heuristics to solve the integrated airline crew assignment problem |
title_full |
Heuristics to solve the integrated airline crew assignment problem |
title_fullStr |
Heuristics to solve the integrated airline crew assignment problem |
title_full_unstemmed |
Heuristics to solve the integrated airline crew assignment problem |
title_sort |
Heuristics to solve the integrated airline crew assignment problem |
author |
Gomes,Wagner P. |
author_facet |
Gomes,Wagner P. Gualda,Nicolau D. F. |
author_role |
author |
author2 |
Gualda,Nicolau D. F. |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Gomes,Wagner P. Gualda,Nicolau D. F. |
dc.subject.por.fl_str_mv |
air transportation airline crew assignment combinatorial optimization heuristics |
topic |
air transportation airline crew assignment combinatorial optimization heuristics |
description |
A typical problem related to airline crew management consists of optimally assigning the required crew members to planned flights for a given period of time, while complying with a variety of labor regulations, safety rules and policies of the airline. This problem, called crew assignment problem (CAP), is of the NPHard class. So, it is usually divided into two independent subproblems, crew pairing problem (CPP) and crew rostering problem (CRP), modeled and solved sequentially. This division does not provide a global treatment to the CAP in terms of total cost and quality of the final solution. The state of the art involves the integrated solution of CAP, with both subproblems (CPP and CRP) solved simultaneously. It still requires high computational effort. Its combinatorial nature makes it difficult (or even impossible) to be solved by exact methods. The methodology proposed in this research provides an integrated solution of the CAP with heuristic procedures. The methodology was tested to solve instances related to small and medium-sized Brazilian airlines. The results were also compared with those obtained through an exact model adapted from the literature. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2238-10312015000100025 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2238-10312015000100025 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/2238-1031.jtl.v9n1a5 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Planejamento dos Transportes |
publisher.none.fl_str_mv |
Sociedade Brasileira de Planejamento dos Transportes |
dc.source.none.fl_str_mv |
Journal of Transport Literature v.9 n.1 2015 reponame:Journal of Transport Literature instname:Sociedade Brasileira de Planejamento dos Transportes (SBPT) instacron:SBPTR |
instname_str |
Sociedade Brasileira de Planejamento dos Transportes (SBPT) |
instacron_str |
SBPTR |
institution |
SBPTR |
reponame_str |
Journal of Transport Literature |
collection |
Journal of Transport Literature |
repository.name.fl_str_mv |
Journal of Transport Literature - Sociedade Brasileira de Planejamento dos Transportes (SBPT) |
repository.mail.fl_str_mv |
||alessandro.oliveira@pq.cnpq.br|| editor.jtl@gmail.com |
_version_ |
1750318362670399488 |