Modelagem para apoio ao planejamento das operações de colheita mecanizada no setor sucroenergético

Detalhes bibliográficos
Ano de defesa: 2021
Autor(a) principal: Schmidt, Rene
Orientador(a): Rodrigues, Luciano
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Não Informado pela instituição
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Cana-de-Açúcar
Colheita mecanizada
Economia
Planejamento Estratégico
Pesquisa Operacional
Mechanized harvesting
Economics
Strategic Planning
Operational Research
Palavras-chave em Inglês:
Sugarcane
Mechanized harvesting
Economics
Strategic Planning
Operational Research
Link de acesso: https://hdl.handle.net/10438/30336
Resumo: In view of the importance of the sugarcane industry in the national and international context, the advance and consolidation of mechanized harvesting in the sector and the relevance of this operation in the production costs of the crop, the present study aimed to develop a mathematical optimization model to scale the plant fleet and to identify the best strategy for allocating the machines in order to guarantee the regular supply of raw materials with the minimum operating cost. A case study was carried out and dedicated software was developed for the purpose. The structured model adequately represented the mechanized sugarcane harvesting system and can be used in the management of the activity for the assessment of scenarios, targeting budgets and management follow-ups. The results obtained allow benefits to the company, contributing to the construction of economic, socio-environmental, tax and operational advantages.
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spelling Schmidt, ReneEscolas::EESPSerigati, Felippe CauêXavier, Carlos Eduardo OsórioRodrigues, Luciano2021-04-12T20:18:34Z2021-04-12T20:18:34Z2021-03https://hdl.handle.net/10438/30336In view of the importance of the sugarcane industry in the national and international context, the advance and consolidation of mechanized harvesting in the sector and the relevance of this operation in the production costs of the crop, the present study aimed to develop a mathematical optimization model to scale the plant fleet and to identify the best strategy for allocating the machines in order to guarantee the regular supply of raw materials with the minimum operating cost. A case study was carried out and dedicated software was developed for the purpose. The structured model adequately represented the mechanized sugarcane harvesting system and can be used in the management of the activity for the assessment of scenarios, targeting budgets and management follow-ups. The results obtained allow benefits to the company, contributing to the construction of economic, socio-environmental, tax and operational advantages.Diante da importância da indústria sucroenergética no contexto nacional e internacional, do avanço e consolidação da colheita mecanizada no setor e da importância dessa operação nos custos de produção da cultura, no presente estudo se buscou desenvolver um modelo matemático de otimização para dimensionar a frota das usinas e identificar a melhor estratégia de alocação das máquinas de forma a garantir o suprimento regular de matéria-prima na indústria com o mínimo custo de operação. Para tanto, foi realizado um estudo de caso e desenvolvido um software dedicado para o propósito. O modelo estruturado representou adequadamente o sistema mecanizado de colheita de cana-deaçúcar, podendo ser utilizado na gestão da atividade para a avaliação de cenários, direcionamento de orçamentos e acompanhamentos gerenciais. Os resultados obtidos indicaram benefícios quantitativos e qualitativos à empresa, contribuindo para a construção de vantagens econômicas, socioambientais, tributárias e operacionais.ABSTRACT In view of the importance of the sugarcane industry in the national and international context, the advance and consolidation of mechanized harvesting in the sector and the relevance of this operation in the production costs of the crop, the present study aimed to develop a mathematical optimization model to scale the plant fleet and to identify the best strategy for allocating the machines in order to guarantee the regular supply of raw materials with the minimum operating cost. A case study was carried out and dedicated software was developed for the purpose. The structured model adequately represented the mechanized sugarcane harvesting system and can be used in the management of the activity for the assessment of scenarios, targeting budgets and management follow-ups. The results obtained allow benefits to the company, contributing to the construction of economic, socio-environmental, tax and operational advantages.porSugarcaneMechanized harvestingEconomicsStrategic PlanningOperational ResearchCana-de-AçúcarColheita mecanizadaEconomiaPlanejamento EstratégicoPesquisa OperacionalMechanized harvestingEconomicsStrategic PlanningOperational ResearchEconomiaPropriedade intelectualDireitos autorais - Brasil - LegislaçãoObras públicasContratos administrativosArquitetura - Projetos e plantasEngenharia - ProjetosModelagem para apoio ao planejamento das operações de colheita mecanizada no setor sucroenergéticoinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVORIGINALTRABALHO FINAL RENE.pdfTRABALHO FINAL 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dc.title.por.fl_str_mv Modelagem para apoio ao planejamento das operações de colheita mecanizada no setor sucroenergético
title Modelagem para apoio ao planejamento das operações de colheita mecanizada no setor sucroenergético
spellingShingle Modelagem para apoio ao planejamento das operações de colheita mecanizada no setor sucroenergético
Schmidt, Rene
Sugarcane
Mechanized harvesting
Economics
Strategic Planning
Operational Research
Cana-de-Açúcar
Colheita mecanizada
Economia
Planejamento Estratégico
Pesquisa Operacional
Mechanized harvesting
Economics
Strategic Planning
Operational Research
Economia
Propriedade intelectual
Direitos autorais - Brasil - Legislação
Obras públicas
Contratos administrativos
Arquitetura - Projetos e plantas
Engenharia - Projetos
title_short Modelagem para apoio ao planejamento das operações de colheita mecanizada no setor sucroenergético
title_full Modelagem para apoio ao planejamento das operações de colheita mecanizada no setor sucroenergético
title_fullStr Modelagem para apoio ao planejamento das operações de colheita mecanizada no setor sucroenergético
title_full_unstemmed Modelagem para apoio ao planejamento das operações de colheita mecanizada no setor sucroenergético
title_sort Modelagem para apoio ao planejamento das operações de colheita mecanizada no setor sucroenergético
author Schmidt, Rene
author_facet Schmidt, Rene
author_role author
dc.contributor.unidadefgv.por.fl_str_mv Escolas::EESP
dc.contributor.member.none.fl_str_mv Serigati, Felippe Cauê
Xavier, Carlos Eduardo Osório
dc.contributor.author.fl_str_mv Schmidt, Rene
dc.contributor.advisor1.fl_str_mv Rodrigues, Luciano
contributor_str_mv Rodrigues, Luciano
dc.subject.eng.fl_str_mv Sugarcane
Mechanized harvesting
Economics
Strategic Planning
Operational Research
topic Sugarcane
Mechanized harvesting
Economics
Strategic Planning
Operational Research
Cana-de-Açúcar
Colheita mecanizada
Economia
Planejamento Estratégico
Pesquisa Operacional
Mechanized harvesting
Economics
Strategic Planning
Operational Research
Economia
Propriedade intelectual
Direitos autorais - Brasil - Legislação
Obras públicas
Contratos administrativos
Arquitetura - Projetos e plantas
Engenharia - Projetos
dc.subject.por.fl_str_mv Cana-de-Açúcar
Colheita mecanizada
Economia
Planejamento Estratégico
Pesquisa Operacional
Mechanized harvesting
Economics
Strategic Planning
Operational Research
dc.subject.area.por.fl_str_mv Economia
dc.subject.bibliodata.por.fl_str_mv Propriedade intelectual
Direitos autorais - Brasil - Legislação
Obras públicas
Contratos administrativos
Arquitetura - Projetos e plantas
Engenharia - Projetos
description In view of the importance of the sugarcane industry in the national and international context, the advance and consolidation of mechanized harvesting in the sector and the relevance of this operation in the production costs of the crop, the present study aimed to develop a mathematical optimization model to scale the plant fleet and to identify the best strategy for allocating the machines in order to guarantee the regular supply of raw materials with the minimum operating cost. A case study was carried out and dedicated software was developed for the purpose. The structured model adequately represented the mechanized sugarcane harvesting system and can be used in the management of the activity for the assessment of scenarios, targeting budgets and management follow-ups. The results obtained allow benefits to the company, contributing to the construction of economic, socio-environmental, tax and operational advantages.
publishDate 2021
dc.date.accessioned.fl_str_mv 2021-04-12T20:18:34Z
dc.date.available.fl_str_mv 2021-04-12T20:18:34Z
dc.date.issued.fl_str_mv 2021-03
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10438/30336
url https://hdl.handle.net/10438/30336
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional do FGV (FGV Repositório Digital)
instname:Fundação Getulio Vargas (FGV)
instacron:FGV
instname_str Fundação Getulio Vargas (FGV)
instacron_str FGV
institution FGV
reponame_str Repositório Institucional do FGV (FGV Repositório Digital)
collection Repositório Institucional do FGV (FGV Repositório Digital)
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https://repositorio.fgv.br/bitstreams/d1ea495d-2725-49b6-ae01-d6a80d8be8fe/download
https://repositorio.fgv.br/bitstreams/b5013836-607b-42ea-a281-d63ce1f1ef87/download
bitstream.checksum.fl_str_mv 3b6d4cad91c4d9129f9024ffdc7fe14e
dfb340242cced38a6cca06c627998fa1
a2ee396e45372cbf128b83481633931b
e2965ff0fe6183f41ac99bf9a014e43d
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional do FGV (FGV Repositório Digital) - Fundação Getulio Vargas (FGV)
repository.mail.fl_str_mv
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