PROJECT SCHEDULING OPTIMIZATION IN ELECTRICAL POWER UTILITIES
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Pesquisa operacional (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382015000200285 |
Resumo: | The problem of choosing from a set of projects which ones should be executed and whenthey should start, depending on several restrictions involving project costs, risks, limited resources, dependencies among projects, and aiming at different, even conflicting, goals is known as the project portfolio selection (PPS) problem. We study a particular version of the PPS problem stemming from the operation of a real power generation company. It includes distinct categories of resources, intricate dependencies between projects, which are especially important for the management of power plants, and the prevention of risks. We present an algorithm based on the GRASP meta-heuristic for finding better results thanmanual solutions produced by specialists. The algorithm yielded solutions that decreased the risk by 47%, as measured by the company's standard methodology. |
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PROJECT SCHEDULING OPTIMIZATION IN ELECTRICAL POWER UTILITIESproject portfolio managementpower generationoptimizationschedulingThe problem of choosing from a set of projects which ones should be executed and whenthey should start, depending on several restrictions involving project costs, risks, limited resources, dependencies among projects, and aiming at different, even conflicting, goals is known as the project portfolio selection (PPS) problem. We study a particular version of the PPS problem stemming from the operation of a real power generation company. It includes distinct categories of resources, intricate dependencies between projects, which are especially important for the management of power plants, and the prevention of risks. We present an algorithm based on the GRASP meta-heuristic for finding better results thanmanual solutions produced by specialists. The algorithm yielded solutions that decreased the risk by 47%, as measured by the company's standard methodology.Sociedade Brasileira de Pesquisa Operacional2015-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382015000200285Pesquisa Operacional v.35 n.2 2015reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/0101-7438.2015.035.02.0285info:eu-repo/semantics/openAccessMira,CleberViadanna,Paulo R.Souza,Maria AngélicaMoura,ArnaldoMeidanis,JoãoLima,Gabriel A. CostaBossolan,Renato P.eng2015-07-27T00:00:00Zoai:scielo:S0101-74382015000200285Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2015-07-27T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false |
dc.title.none.fl_str_mv |
PROJECT SCHEDULING OPTIMIZATION IN ELECTRICAL POWER UTILITIES |
title |
PROJECT SCHEDULING OPTIMIZATION IN ELECTRICAL POWER UTILITIES |
spellingShingle |
PROJECT SCHEDULING OPTIMIZATION IN ELECTRICAL POWER UTILITIES Mira,Cleber project portfolio management power generation optimization scheduling |
title_short |
PROJECT SCHEDULING OPTIMIZATION IN ELECTRICAL POWER UTILITIES |
title_full |
PROJECT SCHEDULING OPTIMIZATION IN ELECTRICAL POWER UTILITIES |
title_fullStr |
PROJECT SCHEDULING OPTIMIZATION IN ELECTRICAL POWER UTILITIES |
title_full_unstemmed |
PROJECT SCHEDULING OPTIMIZATION IN ELECTRICAL POWER UTILITIES |
title_sort |
PROJECT SCHEDULING OPTIMIZATION IN ELECTRICAL POWER UTILITIES |
author |
Mira,Cleber |
author_facet |
Mira,Cleber Viadanna,Paulo R. Souza,Maria Angélica Moura,Arnaldo Meidanis,João Lima,Gabriel A. Costa Bossolan,Renato P. |
author_role |
author |
author2 |
Viadanna,Paulo R. Souza,Maria Angélica Moura,Arnaldo Meidanis,João Lima,Gabriel A. Costa Bossolan,Renato P. |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Mira,Cleber Viadanna,Paulo R. Souza,Maria Angélica Moura,Arnaldo Meidanis,João Lima,Gabriel A. Costa Bossolan,Renato P. |
dc.subject.por.fl_str_mv |
project portfolio management power generation optimization scheduling |
topic |
project portfolio management power generation optimization scheduling |
description |
The problem of choosing from a set of projects which ones should be executed and whenthey should start, depending on several restrictions involving project costs, risks, limited resources, dependencies among projects, and aiming at different, even conflicting, goals is known as the project portfolio selection (PPS) problem. We study a particular version of the PPS problem stemming from the operation of a real power generation company. It includes distinct categories of resources, intricate dependencies between projects, which are especially important for the management of power plants, and the prevention of risks. We present an algorithm based on the GRASP meta-heuristic for finding better results thanmanual solutions produced by specialists. The algorithm yielded solutions that decreased the risk by 47%, as measured by the company's standard methodology. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-08-01 |
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=S0101-74382015000200285 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382015000200285 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0101-7438.2015.035.02.0285 |
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.35 n.2 2015 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 |
_version_ |
1750318017797947392 |