A multi-regional optimization model for the Brazilian oil refining industry

Detalhes bibliográficos
Autor(a) principal: FERNANDA PIRES DOMINGUES CARDOSO GUEDES
Data de Publicação: 2019
Tipo de documento: Tese
Título da fonte: Portal de Dados Abertos da CAPES
Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7996633
id BRCRIS_b3d6b188df03b2bfebbe3ae87ecee286
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv A multi-regional optimization model for the Brazilian oil refining industry
title A multi-regional optimization model for the Brazilian oil refining industry
spellingShingle A multi-regional optimization model for the Brazilian oil refining industry
1. Refino de petróleo. 2. Programação linear. 3. Otimização
1. Oil refining. 2. Linear Programming. 3. Optimization
FERNANDA PIRES DOMINGUES CARDOSO GUEDES
title_short A multi-regional optimization model for the Brazilian oil refining industry
title_full A multi-regional optimization model for the Brazilian oil refining industry
title_fullStr A multi-regional optimization model for the Brazilian oil refining industry
A multi-regional optimization model for the Brazilian oil refining industry
title_full_unstemmed A multi-regional optimization model for the Brazilian oil refining industry
A multi-regional optimization model for the Brazilian oil refining industry
title_sort A multi-regional optimization model for the Brazilian oil refining industry
topic 1. Refino de petróleo. 2. Programação linear. 3. Otimização
1. Oil refining. 2. Linear Programming. 3. Optimization
publishDate 2019
format doctoralThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7996633
author_role author
author FERNANDA PIRES DOMINGUES CARDOSO GUEDES
author_facet FERNANDA PIRES DOMINGUES CARDOSO GUEDES
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/9411979831429272
dc.contributor.advisor1.fl_str_mv Dsc. Alexandre Salem Szklo
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/5314056414907898
dc.contributor.advisor1orcid.por.fl_str_mv https://orcid.org/0000000271011810
dc.publisher.none.fl_str_mv UNIVERSIDADE FEDERAL DO RIO DE JANEIRO
publisher.none.fl_str_mv UNIVERSIDADE FEDERAL DO RIO DE JANEIRO
instname_str UNIVERSIDADE FEDERAL DO RIO DE JANEIRO
dc.publisher.program.fl_str_mv PLANEJAMENTO ENERGÉTICO
dc.description.course.none.fl_txt_mv PLANEJAMENTO ENERGÉTICO
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESA multi-regional optimization model for the Brazilian oil refining industryA multi-regional optimization model for the Brazilian oil refining industryA multi-regional optimization model for the Brazilian oil refining industryA multi-regional optimization model for the Brazilian oil refining industryA multi-regional optimization model for the Brazilian oil refining industryA multi-regional optimization model for the Brazilian oil refining industryA multi-regional optimization model for the Brazilian oil refining industry1. Refino de petróleo. 2. Programação linear. 3. Otimização2019doctoralThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7996633authorFERNANDA PIRES DOMINGUES CARDOSO GUEDEShttp://lattes.cnpq.br/9411979831429272Dsc. Alexandre Salem Szklohttp://lattes.cnpq.br/5314056414907898https://orcid.org/0000000271011810UNIVERSIDADE FEDERAL DO RIO DE JANEIROUNIVERSIDADE FEDERAL DO RIO DE JANEIROUNIVERSIDADE FEDERAL DO RIO DE JANEIROPLANEJAMENTO ENERGÉTICOPLANEJAMENTO ENERGÉTICOPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv GUEDES, FERNANDA PIRES DOMINGUES CARDOSO. A multi-regional optimization model for the Brazilian oil refining industry. 2019. Tese.
dc.identifier.citation.fl_str_mv GUEDES, FERNANDA PIRES DOMINGUES CARDOSO. A multi-regional optimization model for the Brazilian oil refining industry. 2019. Tese.
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