A relax-and-fix-based algorithm for the vehicle-reservation assignment problem in a car rental company

Detalhes bibliográficos
Autor(a) principal: Beatriz Brito Oliveira
Data de Publicação: 2014
Outros Autores: Maria Antónia Carravilla, José Fernando Oliveira, Toledo,FMB
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://repositorio.inesctec.pt/handle/123456789/3521
http://dx.doi.org/10.1016/j.ejor.2014.02.018
Resumo: Empty repositions are a major problem for car rental companies that deal with special types of vehicles whose number of units is small. In order to meet reservation requirements concerning time and location, companies are forced to transfer cars between rental stations, bearing significant costs and increasing the environmental impact of their activity due to the fuel consumption and CO2 emission. In this paper, this problem is tackled under a vehicle-reservation assignment framework as a network-flow model in which the profit is maximized. The reservations are allocated considering the initial and future availability of each car, interdependencies between rental groups, and different reservation priorities. To solve this model, a relax-and-fix heuristic procedure is proposed, including a constraint based on local branching that enables and controls modifications between iterations. Using real instances, the value of this approach is established and an improvement of 33% was achieved when compared to the company's current practices.
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spelling A relax-and-fix-based algorithm for the vehicle-reservation assignment problem in a car rental companyEmpty repositions are a major problem for car rental companies that deal with special types of vehicles whose number of units is small. In order to meet reservation requirements concerning time and location, companies are forced to transfer cars between rental stations, bearing significant costs and increasing the environmental impact of their activity due to the fuel consumption and CO2 emission. In this paper, this problem is tackled under a vehicle-reservation assignment framework as a network-flow model in which the profit is maximized. The reservations are allocated considering the initial and future availability of each car, interdependencies between rental groups, and different reservation priorities. To solve this model, a relax-and-fix heuristic procedure is proposed, including a constraint based on local branching that enables and controls modifications between iterations. Using real instances, the value of this approach is established and an improvement of 33% was achieved when compared to the company's current practices.2017-11-20T10:36:03Z2014-01-01T00:00:00Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/3521http://dx.doi.org/10.1016/j.ejor.2014.02.018engBeatriz Brito OliveiraMaria Antónia CarravillaJosé Fernando OliveiraToledo,FMBinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-05-15T10:20:53Zoai:repositorio.inesctec.pt:123456789/3521Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:53:45.513418Repositório 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 relax-and-fix-based algorithm for the vehicle-reservation assignment problem in a car rental company
title A relax-and-fix-based algorithm for the vehicle-reservation assignment problem in a car rental company
spellingShingle A relax-and-fix-based algorithm for the vehicle-reservation assignment problem in a car rental company
Beatriz Brito Oliveira
title_short A relax-and-fix-based algorithm for the vehicle-reservation assignment problem in a car rental company
title_full A relax-and-fix-based algorithm for the vehicle-reservation assignment problem in a car rental company
title_fullStr A relax-and-fix-based algorithm for the vehicle-reservation assignment problem in a car rental company
title_full_unstemmed A relax-and-fix-based algorithm for the vehicle-reservation assignment problem in a car rental company
title_sort A relax-and-fix-based algorithm for the vehicle-reservation assignment problem in a car rental company
author Beatriz Brito Oliveira
author_facet Beatriz Brito Oliveira
Maria Antónia Carravilla
José Fernando Oliveira
Toledo,FMB
author_role author
author2 Maria Antónia Carravilla
José Fernando Oliveira
Toledo,FMB
author2_role author
author
author
dc.contributor.author.fl_str_mv Beatriz Brito Oliveira
Maria Antónia Carravilla
José Fernando Oliveira
Toledo,FMB
description Empty repositions are a major problem for car rental companies that deal with special types of vehicles whose number of units is small. In order to meet reservation requirements concerning time and location, companies are forced to transfer cars between rental stations, bearing significant costs and increasing the environmental impact of their activity due to the fuel consumption and CO2 emission. In this paper, this problem is tackled under a vehicle-reservation assignment framework as a network-flow model in which the profit is maximized. The reservations are allocated considering the initial and future availability of each car, interdependencies between rental groups, and different reservation priorities. To solve this model, a relax-and-fix heuristic procedure is proposed, including a constraint based on local branching that enables and controls modifications between iterations. Using real instances, the value of this approach is established and an improvement of 33% was achieved when compared to the company's current practices.
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01T00:00:00Z
2014
2017-11-20T10:36:03Z
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dc.identifier.uri.fl_str_mv http://repositorio.inesctec.pt/handle/123456789/3521
http://dx.doi.org/10.1016/j.ejor.2014.02.018
url http://repositorio.inesctec.pt/handle/123456789/3521
http://dx.doi.org/10.1016/j.ejor.2014.02.018
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