LEVEL OF REPAIR ANALYSIS INCLUDING FAILURE ANALYSIS AND OPTIMAL LOCATION OF MAINTENANCE FACILITIES AND RESOURCES

Detalhes bibliográficos
Autor(a) principal: Brick,Eduardo Siqueira
Data de Publicação: 2021
Outros Autores: Pessoa,Artur Alves, Sacramento,Karina Thiebaut
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382021000100204
Resumo: ABSTRACT Level of repair analysis (LORA) aims to determine the optimal repair policy for complex systems’ components. A repair policy is an a priori decision about which faulty components to discard or repair, and where these actions should take place. Traditionally, LORA models have assumed the maintenance network as pre-defined and identified the resources required to perform the maintenance at each facility as an output. In this paper, the maintenance network itself is an output rather than an input. Other advantages are the ability to deploy different types of resources at the operational level and to allow precise identification of the faulty component. We propose a mixed integer programming (MIP) formulation for the optimization problem, associated with a flow model. Experiments using a set of hypotheticals, but adequate for the purposes of the study, instances provide strong evidence that the formulation’s capabilities can lead to significant cost savings.
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spelling LEVEL OF REPAIR ANALYSIS INCLUDING FAILURE ANALYSIS AND OPTIMAL LOCATION OF MAINTENANCE FACILITIES AND RESOURCESmaintenancelevel of repair analysismixed integer programmingABSTRACT Level of repair analysis (LORA) aims to determine the optimal repair policy for complex systems’ components. A repair policy is an a priori decision about which faulty components to discard or repair, and where these actions should take place. Traditionally, LORA models have assumed the maintenance network as pre-defined and identified the resources required to perform the maintenance at each facility as an output. In this paper, the maintenance network itself is an output rather than an input. Other advantages are the ability to deploy different types of resources at the operational level and to allow precise identification of the faulty component. We propose a mixed integer programming (MIP) formulation for the optimization problem, associated with a flow model. Experiments using a set of hypotheticals, but adequate for the purposes of the study, instances provide strong evidence that the formulation’s capabilities can lead to significant cost savings.Sociedade Brasileira de Pesquisa Operacional2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382021000100204Pesquisa Operacional v.41 2021reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/0101-7438.2021.041.00238051info:eu-repo/semantics/openAccessBrick,Eduardo SiqueiraPessoa,Artur AlvesSacramento,Karina Thiebauteng2021-10-08T00:00:00Zoai:scielo:S0101-74382021000100204Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2021-10-08T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv LEVEL OF REPAIR ANALYSIS INCLUDING FAILURE ANALYSIS AND OPTIMAL LOCATION OF MAINTENANCE FACILITIES AND RESOURCES
title LEVEL OF REPAIR ANALYSIS INCLUDING FAILURE ANALYSIS AND OPTIMAL LOCATION OF MAINTENANCE FACILITIES AND RESOURCES
spellingShingle LEVEL OF REPAIR ANALYSIS INCLUDING FAILURE ANALYSIS AND OPTIMAL LOCATION OF MAINTENANCE FACILITIES AND RESOURCES
Brick,Eduardo Siqueira
maintenance
level of repair analysis
mixed integer programming
title_short LEVEL OF REPAIR ANALYSIS INCLUDING FAILURE ANALYSIS AND OPTIMAL LOCATION OF MAINTENANCE FACILITIES AND RESOURCES
title_full LEVEL OF REPAIR ANALYSIS INCLUDING FAILURE ANALYSIS AND OPTIMAL LOCATION OF MAINTENANCE FACILITIES AND RESOURCES
title_fullStr LEVEL OF REPAIR ANALYSIS INCLUDING FAILURE ANALYSIS AND OPTIMAL LOCATION OF MAINTENANCE FACILITIES AND RESOURCES
title_full_unstemmed LEVEL OF REPAIR ANALYSIS INCLUDING FAILURE ANALYSIS AND OPTIMAL LOCATION OF MAINTENANCE FACILITIES AND RESOURCES
title_sort LEVEL OF REPAIR ANALYSIS INCLUDING FAILURE ANALYSIS AND OPTIMAL LOCATION OF MAINTENANCE FACILITIES AND RESOURCES
author Brick,Eduardo Siqueira
author_facet Brick,Eduardo Siqueira
Pessoa,Artur Alves
Sacramento,Karina Thiebaut
author_role author
author2 Pessoa,Artur Alves
Sacramento,Karina Thiebaut
author2_role author
author
dc.contributor.author.fl_str_mv Brick,Eduardo Siqueira
Pessoa,Artur Alves
Sacramento,Karina Thiebaut
dc.subject.por.fl_str_mv maintenance
level of repair analysis
mixed integer programming
topic maintenance
level of repair analysis
mixed integer programming
description ABSTRACT Level of repair analysis (LORA) aims to determine the optimal repair policy for complex systems’ components. A repair policy is an a priori decision about which faulty components to discard or repair, and where these actions should take place. Traditionally, LORA models have assumed the maintenance network as pre-defined and identified the resources required to perform the maintenance at each facility as an output. In this paper, the maintenance network itself is an output rather than an input. Other advantages are the ability to deploy different types of resources at the operational level and to allow precise identification of the faulty component. We propose a mixed integer programming (MIP) formulation for the optimization problem, associated with a flow model. Experiments using a set of hypotheticals, but adequate for the purposes of the study, instances provide strong evidence that the formulation’s capabilities can lead to significant cost savings.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
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=S0101-74382021000100204
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382021000100204
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0101-7438.2021.041.00238051
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 Pesquisa Operacional
publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
dc.source.none.fl_str_mv Pesquisa Operacional v.41 2021
reponame:Pesquisa operacional (Online)
instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron:SOBRAPO
instname_str Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron_str SOBRAPO
institution SOBRAPO
reponame_str Pesquisa operacional (Online)
collection Pesquisa operacional (Online)
repository.name.fl_str_mv Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
repository.mail.fl_str_mv ||sobrapo@sobrapo.org.br
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