An integrated econometric model for bus replacement and determination of reserve fleet size based on predictive maintenance
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/108137 https://doi.org/10.17531/ein.2017.3.6 |
Resumo: | Maintenance policies influence equipment availability and, thus, they affect a company’s capacity for productivity and competitiveness. It is important to optimize the Life Cycle Cost (LCC) of assets, in this case, passenger bus fleets. The paper presents a predictive condition monitoring maintenance approach based on engine oil analysis, to assess the potential impact of this variable on the availability of buses. The approach has implications on maintenance costs during the life of a bus and, consequently, on the determination of the best time for bus replacement. The paper provides an overview of economic replacement models through a global model, with an emphasis on availability and its dependence on maintenance and maintenance costs. These factors help to determine the size of the reserve fleet and guarantee availability |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
An integrated econometric model for bus replacement and determination of reserve fleet size based on predictive maintenancecondition monitoringLCCreplacementreserve fleetMaintenance policies influence equipment availability and, thus, they affect a company’s capacity for productivity and competitiveness. It is important to optimize the Life Cycle Cost (LCC) of assets, in this case, passenger bus fleets. The paper presents a predictive condition monitoring maintenance approach based on engine oil analysis, to assess the potential impact of this variable on the availability of buses. The approach has implications on maintenance costs during the life of a bus and, consequently, on the determination of the best time for bus replacement. The paper provides an overview of economic replacement models through a global model, with an emphasis on availability and its dependence on maintenance and maintenance costs. These factors help to determine the size of the reserve fleet and guarantee availabilityPolish Maintenance Society2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/108137http://hdl.handle.net/10316/108137https://doi.org/10.17531/ein.2017.3.6eng15072711Raposo, HugoFarinha, José TorresFerreira, LuísGalar, Diegoinfo: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:RCAAP2023-08-12T18:13:07Zoai:estudogeral.uc.pt:10316/108137Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:24:25.949071Repositório 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 |
An integrated econometric model for bus replacement and determination of reserve fleet size based on predictive maintenance |
title |
An integrated econometric model for bus replacement and determination of reserve fleet size based on predictive maintenance |
spellingShingle |
An integrated econometric model for bus replacement and determination of reserve fleet size based on predictive maintenance Raposo, Hugo condition monitoring LCC replacement reserve fleet |
title_short |
An integrated econometric model for bus replacement and determination of reserve fleet size based on predictive maintenance |
title_full |
An integrated econometric model for bus replacement and determination of reserve fleet size based on predictive maintenance |
title_fullStr |
An integrated econometric model for bus replacement and determination of reserve fleet size based on predictive maintenance |
title_full_unstemmed |
An integrated econometric model for bus replacement and determination of reserve fleet size based on predictive maintenance |
title_sort |
An integrated econometric model for bus replacement and determination of reserve fleet size based on predictive maintenance |
author |
Raposo, Hugo |
author_facet |
Raposo, Hugo Farinha, José Torres Ferreira, Luís Galar, Diego |
author_role |
author |
author2 |
Farinha, José Torres Ferreira, Luís Galar, Diego |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Raposo, Hugo Farinha, José Torres Ferreira, Luís Galar, Diego |
dc.subject.por.fl_str_mv |
condition monitoring LCC replacement reserve fleet |
topic |
condition monitoring LCC replacement reserve fleet |
description |
Maintenance policies influence equipment availability and, thus, they affect a company’s capacity for productivity and competitiveness. It is important to optimize the Life Cycle Cost (LCC) of assets, in this case, passenger bus fleets. The paper presents a predictive condition monitoring maintenance approach based on engine oil analysis, to assess the potential impact of this variable on the availability of buses. The approach has implications on maintenance costs during the life of a bus and, consequently, on the determination of the best time for bus replacement. The paper provides an overview of economic replacement models through a global model, with an emphasis on availability and its dependence on maintenance and maintenance costs. These factors help to determine the size of the reserve fleet and guarantee availability |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/108137 http://hdl.handle.net/10316/108137 https://doi.org/10.17531/ein.2017.3.6 |
url |
http://hdl.handle.net/10316/108137 https://doi.org/10.17531/ein.2017.3.6 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
15072711 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Polish Maintenance Society |
publisher.none.fl_str_mv |
Polish Maintenance Society |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799134129140269056 |