Optimizing the Airport Check-In Counter Allocation Problem

Detalhes bibliográficos
Autor(a) principal: Araujo,Gerson E.
Data de Publicação: 2015
Outros Autores: Repolho,Hugo M.
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=S2238-10312015000400015
Resumo: Abstract This paper presents a new methodology to optimize the Airport Check-in Counter Allocation Problem. The methodology combines optimization, simulation and adjacent resource scheduling and aims to determine the optimal number, location and schedule of check-in desks to open for departing flights, such that operational costs are minimized and a given service level is ensured. The methodology is composed of three steps. Step 1 uses optimization models to determine the optimal number of desks. Step 2 uses simulation to assess if the first step results meet the overall service level. Step 3 uses an optimization model to enforce the adjacent constraint. The paper focus then on Step 1, to which we present two new optimization models for common and dedicated check-in systems which include a service level constraint. Finally, these models are applied to a case study with actual data. We conclude the best time interval length should be 30 minutes or less and, as expected, the dedicated system requires, in general, more desks than the common system. Additionally, the results demonstrate the accuracy of the models to reach the trade-off between the operational costs and a given service level.
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spelling Optimizing the Airport Check-In Counter Allocation ProblemAirport LogisticsCheck-in Counter AllocationProblemOptimization ModelsSimulationAbstract This paper presents a new methodology to optimize the Airport Check-in Counter Allocation Problem. The methodology combines optimization, simulation and adjacent resource scheduling and aims to determine the optimal number, location and schedule of check-in desks to open for departing flights, such that operational costs are minimized and a given service level is ensured. The methodology is composed of three steps. Step 1 uses optimization models to determine the optimal number of desks. Step 2 uses simulation to assess if the first step results meet the overall service level. Step 3 uses an optimization model to enforce the adjacent constraint. The paper focus then on Step 1, to which we present two new optimization models for common and dedicated check-in systems which include a service level constraint. Finally, these models are applied to a case study with actual data. We conclude the best time interval length should be 30 minutes or less and, as expected, the dedicated system requires, in general, more desks than the common system. Additionally, the results demonstrate the accuracy of the models to reach the trade-off between the operational costs and a given service level.Sociedade Brasileira de Planejamento dos Transportes2015-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2238-10312015000400015Journal of Transport Literature v.9 n.4 2015reponame:Journal of Transport Literatureinstname:Sociedade Brasileira de Planejamento dos Transportes (SBPT)instacron:SBPTR10.1590/2238-1031.jtl.v9n4a3info:eu-repo/semantics/openAccessAraujo,Gerson E.Repolho,Hugo M.eng2015-07-14T00:00:00Zoai:scielo:S2238-10312015000400015Revistahttp://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:2015-07-14T00:00Journal of Transport Literature - Sociedade Brasileira de Planejamento dos Transportes (SBPT)false
dc.title.none.fl_str_mv Optimizing the Airport Check-In Counter Allocation Problem
title Optimizing the Airport Check-In Counter Allocation Problem
spellingShingle Optimizing the Airport Check-In Counter Allocation Problem
Araujo,Gerson E.
Airport Logistics
Check-in Counter Allocation
Problem
Optimization Models
Simulation
title_short Optimizing the Airport Check-In Counter Allocation Problem
title_full Optimizing the Airport Check-In Counter Allocation Problem
title_fullStr Optimizing the Airport Check-In Counter Allocation Problem
title_full_unstemmed Optimizing the Airport Check-In Counter Allocation Problem
title_sort Optimizing the Airport Check-In Counter Allocation Problem
author Araujo,Gerson E.
author_facet Araujo,Gerson E.
Repolho,Hugo M.
author_role author
author2 Repolho,Hugo M.
author2_role author
dc.contributor.author.fl_str_mv Araujo,Gerson E.
Repolho,Hugo M.
dc.subject.por.fl_str_mv Airport Logistics
Check-in Counter Allocation
Problem
Optimization Models
Simulation
topic Airport Logistics
Check-in Counter Allocation
Problem
Optimization Models
Simulation
description Abstract This paper presents a new methodology to optimize the Airport Check-in Counter Allocation Problem. The methodology combines optimization, simulation and adjacent resource scheduling and aims to determine the optimal number, location and schedule of check-in desks to open for departing flights, such that operational costs are minimized and a given service level is ensured. The methodology is composed of three steps. Step 1 uses optimization models to determine the optimal number of desks. Step 2 uses simulation to assess if the first step results meet the overall service level. Step 3 uses an optimization model to enforce the adjacent constraint. The paper focus then on Step 1, to which we present two new optimization models for common and dedicated check-in systems which include a service level constraint. Finally, these models are applied to a case study with actual data. We conclude the best time interval length should be 30 minutes or less and, as expected, the dedicated system requires, in general, more desks than the common system. Additionally, the results demonstrate the accuracy of the models to reach the trade-off between the operational costs and a given service level.
publishDate 2015
dc.date.none.fl_str_mv 2015-12-01
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=S2238-10312015000400015
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2238-1031.jtl.v9n4a3
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.4 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
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