Modelo de otimização para a rede humanitária de suprimentos no Brasil
| Ano de defesa: | 2018 |
|---|---|
| Autor(a) principal: | |
| Orientador(a): | |
| Banca de defesa: | |
| Tipo de documento: | Dissertação |
| Tipo de acesso: | Acesso aberto |
| Idioma: | por |
| Instituição de defesa: |
Universidade Federal de São Carlos
Câmpus Sorocaba |
| Programa de Pós-Graduação: |
Programa de Pós-Graduação em Engenharia de Produção - PPGEP-So
|
| Departamento: |
Não Informado pela instituição
|
| País: |
Não Informado pela instituição
|
| Palavras-chave em Português: | |
| Palavras-chave em Inglês: | |
| Área do conhecimento CNPq: | |
| Link de acesso: | https://repositorio.ufscar.br/handle/20.500.14289/11078 |
Resumo: | This dissertation addresses the problem of designing a humanitarian supply network. With this purpose, a mixed integer linear programming model is proposed, which aims at maximizing the covering of demand in the affected municipalities. The proposed model considers facilities having two purposes (which operate as deposits and aid centers), and is used to decide on capacity planning upon the basis of the Social Vulnerability Index (SoVI) that prioritizes the care of more vulnerable areas. For the sake of testing the model, a real case based on the Brazilian disaster response planning was considered. Thus, data was gathered from the Integrated System Disaster Information (S2iD); in particular, the 11 types of natural disasters with the highest prevalence during the period 2007-2016 were used for the study. The goal was to estimate the demand for relief aid required to cover population needs in the affected municipalities. Computational experiments were implemented and executed to evaluate the mathematical model. The results suggest that the model proposed may be used as a decision support tool that allows for evaluating: (i) the configuration of the humanitarian supply network, regarding to the deposits and aid centers, as well as their characteristics in terms of capacity and long-term operation, (ii) the dynamics of transportation of relief aid throughout the country to meet the requirements (iii) sensitivity analysis of the budget to the care of victims and the role of SoVI in the level of emergency service; and (iv) the advantages and disadvantages of combining pre-positioning and acquisition of relief aid to take the care of victims. |
| id |
SCAR_7f111f54ce0186931901792aa0720b69 |
|---|---|
| oai_identifier_str |
oai:repositorio.ufscar.br:20.500.14289/11078 |
| network_acronym_str |
SCAR |
| network_name_str |
Repositório Institucional da UFSCAR |
| repository_id_str |
|
| spelling |
Bonilla Londoño, Héctor FabioAlem Junior, Douglas Joséhttp://lattes.cnpq.br/0744448264150067http://lattes.cnpq.br/0245267028273903http://lattes.cnpq.br/18374708319706203b2c97d6-bddb-47ab-b08f-8342bec9d64e2019-03-15T18:23:36Z2019-03-15T18:23:36Z2018-08-28BONILLA LONDOÑO, Héctor Fabio. Modelo de otimização para a rede humanitária de suprimentos no Brasil. 2018. Dissertação (Mestrado em Engenharia de Produção) – Universidade Federal de São Carlos, Sorocaba, 2018. Disponível em: https://repositorio.ufscar.br/handle/20.500.14289/11078.https://repositorio.ufscar.br/handle/20.500.14289/11078This dissertation addresses the problem of designing a humanitarian supply network. With this purpose, a mixed integer linear programming model is proposed, which aims at maximizing the covering of demand in the affected municipalities. The proposed model considers facilities having two purposes (which operate as deposits and aid centers), and is used to decide on capacity planning upon the basis of the Social Vulnerability Index (SoVI) that prioritizes the care of more vulnerable areas. For the sake of testing the model, a real case based on the Brazilian disaster response planning was considered. Thus, data was gathered from the Integrated System Disaster Information (S2iD); in particular, the 11 types of natural disasters with the highest prevalence during the period 2007-2016 were used for the study. The goal was to estimate the demand for relief aid required to cover population needs in the affected municipalities. Computational experiments were implemented and executed to evaluate the mathematical model. The results suggest that the model proposed may be used as a decision support tool that allows for evaluating: (i) the configuration of the humanitarian supply network, regarding to the deposits and aid centers, as well as their characteristics in terms of capacity and long-term operation, (ii) the dynamics of transportation of relief aid throughout the country to meet the requirements (iii) sensitivity analysis of the budget to the care of victims and the role of SoVI in the level of emergency service; and (iv) the advantages and disadvantages of combining pre-positioning and acquisition of relief aid to take the care of victims.Nesta dissertação de mestrado aborda-se o problema de desenho da rede humanitária de suprimentos no Brasil. Para isso propôs-se um modelo matemático de PLIM-determinístico. A formulação matemática visa maximizar a cobertura da demanda das vítimas nos municipios afetados ao longo do território brasileiro. Essa proposta de modelagem incorpora novidades na formulação matemática do problema, tais como: os dois níveis de instalações (depósitos e centros de auxílio), o dimensionamento da capacidade e o Índice de Vulnerabilidadem Social (SoVI), que prioriza o atendimento de áreas mais vulneráveis. Para representar de uma forma realista e prática o contexto do problema, foi realizada uma coleta de dados baseada em 11 tipos de desastres naturais com maior frequência de ocorrência no período de 2007-2016 no território brasileiro, empregando novas informações coletadas a partir do Sistema Integrado de Informações sobre Desastres - S2iD. Os dados coletados são empregados especialmente para estimar a demanda de produtos emergenciais necessária a cada pessoa alocada nos municípios afetados. Foram implementados e executados experimentos computacionais para avaliar o modelo matemático até a obtenção do certificado de otimalidade, a menos que se indique o contrário. A proposta de modelagem permite avaliar: (i) a configuração da rede humanitária de suprimentos em relação aos depósitos e centros de auxílio, assim como suas características em termos de capacidade e operação ao longo prazo; (ii) a dinâmica de transporte dos produtos emergenciais ao longo do país para satisfazer a demanda das vítimas; (iii) a análise de sensibilidade do orçamento no atendimento das vítimas e o papel do SoVI no nível de serviço emergencial e (iv) as vantagens de combinar as atividades de preposicionamento e aquisição de produtos emergenciais para o atendimento das vítimas, em contrapartida a estratégias ditas “puras”.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)porUniversidade Federal de São CarlosCâmpus SorocabaPrograma de Pós-Graduação em Engenharia de Produção - PPGEP-SoUFSCarDesenho de Rede humanitáriaPreposicionamento de itens emergenciaisPlanejamento da CapacidadeLogística HumanitáriaSupply chainNetwork designPre-positioningCapacity PlanningHumanitarian LogisticsIntegrated logistic supportHumanitarian assistanceENGENHARIAS::ENGENHARIA DE PRODUCAO::PESQUISA OPERACIONALModelo de otimização para a rede humanitária de suprimentos no Brasilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis18 meses após a data da defesa600600cec2d44f-8db7-478c-b236-12b31d48d81cinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFSCARinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCARORIGINALDissertaçao-Pós-defesa.pdfDissertaçao-Pós-defesa.pdfapplication/pdf15381597https://repositorio.ufscar.br/bitstreams/9f610ece-7678-4ebe-8613-f398c56cbb7b/downloadd7cc6335e7debaaad85852183ee952c0MD51trueAnonymousREAD2020-02-27Comprovante.pdfComprovante.pdfapplication/pdf133227https://repositorio.ufscar.br/bitstreams/bae5c8ce-cddb-43e9-8cd0-36b6933b1a4f/download25fec7f91190b56af86365398ed6c4a1MD52falseAnonymousREAD2020-02-27LICENSElicense.txtlicense.txttext/plain; charset=utf-81957https://repositorio.ufscar.br/bitstreams/f62e6681-ceaa-4136-a51a-7d2fd36e836a/downloadae0398b6f8b235e40ad82cba6c50031dMD53falseAnonymousREAD2020-02-27TEXTDissertaçao-Pós-defesa.pdf.txtDissertaçao-Pós-defesa.pdf.txtExtracted texttext/plain281532https://repositorio.ufscar.br/bitstreams/1a5ed1a8-077c-46ed-a5c7-b1764d638976/download4559f6c537e559562987510cda31e6f3MD58falseAnonymousREAD2020-02-27Comprovante.pdf.txtComprovante.pdf.txtExtracted texttext/plain1https://repositorio.ufscar.br/bitstreams/9baa5024-ef45-4d90-bb8c-afe6d1a90b21/download68b329da9893e34099c7d8ad5cb9c940MD510falseAnonymousREAD2020-02-27THUMBNAILDissertaçao-Pós-defesa.pdf.jpgDissertaçao-Pós-defesa.pdf.jpgIM Thumbnailimage/jpeg5174https://repositorio.ufscar.br/bitstreams/f9e6f1f4-5ec6-4173-8954-a6751d6eafb4/download2456d8aca62a342b5d6f66eab475bdbfMD59falseAnonymousREAD2020-02-27Comprovante.pdf.jpgComprovante.pdf.jpgIM Thumbnailimage/jpeg11987https://repositorio.ufscar.br/bitstreams/16fa70dc-44db-40eb-bbd7-3b2eb39b4ea4/downloaddf3369eaa76a71e72f68f01dea96b4c6MD511falseAnonymousREAD2020-02-2720.500.14289/110782025-02-05 18:06:00.396Acesso abertoopen.accessoai:repositorio.ufscar.br:20.500.14289/11078https://repositorio.ufscar.brRepositório InstitucionalPUBhttps://repositorio.ufscar.br/oai/requestrepositorio.sibi@ufscar.bropendoar:43222025-02-05T21:06Repositório Institucional da UFSCAR - Universidade Federal de São Carlos (UFSCAR)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 |
| dc.title.por.fl_str_mv |
Modelo de otimização para a rede humanitária de suprimentos no Brasil |
| title |
Modelo de otimização para a rede humanitária de suprimentos no Brasil |
| spellingShingle |
Modelo de otimização para a rede humanitária de suprimentos no Brasil Bonilla Londoño, Héctor Fabio Desenho de Rede humanitária Preposicionamento de itens emergenciais Planejamento da Capacidade Logística Humanitária Supply chain Network design Pre-positioning Capacity Planning Humanitarian Logistics Integrated logistic support Humanitarian assistance ENGENHARIAS::ENGENHARIA DE PRODUCAO::PESQUISA OPERACIONAL |
| title_short |
Modelo de otimização para a rede humanitária de suprimentos no Brasil |
| title_full |
Modelo de otimização para a rede humanitária de suprimentos no Brasil |
| title_fullStr |
Modelo de otimização para a rede humanitária de suprimentos no Brasil |
| title_full_unstemmed |
Modelo de otimização para a rede humanitária de suprimentos no Brasil |
| title_sort |
Modelo de otimização para a rede humanitária de suprimentos no Brasil |
| author |
Bonilla Londoño, Héctor Fabio |
| author_facet |
Bonilla Londoño, Héctor Fabio |
| author_role |
author |
| dc.contributor.authorlattes.por.fl_str_mv |
http://lattes.cnpq.br/1837470831970620 |
| dc.contributor.author.fl_str_mv |
Bonilla Londoño, Héctor Fabio |
| dc.contributor.advisor1.fl_str_mv |
Alem Junior, Douglas José |
| dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/0744448264150067 |
| dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/0245267028273903 |
| dc.contributor.authorID.fl_str_mv |
3b2c97d6-bddb-47ab-b08f-8342bec9d64e |
| contributor_str_mv |
Alem Junior, Douglas José |
| dc.subject.por.fl_str_mv |
Desenho de Rede humanitária Preposicionamento de itens emergenciais Planejamento da Capacidade Logística Humanitária |
| topic |
Desenho de Rede humanitária Preposicionamento de itens emergenciais Planejamento da Capacidade Logística Humanitária Supply chain Network design Pre-positioning Capacity Planning Humanitarian Logistics Integrated logistic support Humanitarian assistance ENGENHARIAS::ENGENHARIA DE PRODUCAO::PESQUISA OPERACIONAL |
| dc.subject.eng.fl_str_mv |
Supply chain Network design Pre-positioning Capacity Planning Humanitarian Logistics Integrated logistic support Humanitarian assistance |
| dc.subject.cnpq.fl_str_mv |
ENGENHARIAS::ENGENHARIA DE PRODUCAO::PESQUISA OPERACIONAL |
| description |
This dissertation addresses the problem of designing a humanitarian supply network. With this purpose, a mixed integer linear programming model is proposed, which aims at maximizing the covering of demand in the affected municipalities. The proposed model considers facilities having two purposes (which operate as deposits and aid centers), and is used to decide on capacity planning upon the basis of the Social Vulnerability Index (SoVI) that prioritizes the care of more vulnerable areas. For the sake of testing the model, a real case based on the Brazilian disaster response planning was considered. Thus, data was gathered from the Integrated System Disaster Information (S2iD); in particular, the 11 types of natural disasters with the highest prevalence during the period 2007-2016 were used for the study. The goal was to estimate the demand for relief aid required to cover population needs in the affected municipalities. Computational experiments were implemented and executed to evaluate the mathematical model. The results suggest that the model proposed may be used as a decision support tool that allows for evaluating: (i) the configuration of the humanitarian supply network, regarding to the deposits and aid centers, as well as their characteristics in terms of capacity and long-term operation, (ii) the dynamics of transportation of relief aid throughout the country to meet the requirements (iii) sensitivity analysis of the budget to the care of victims and the role of SoVI in the level of emergency service; and (iv) the advantages and disadvantages of combining pre-positioning and acquisition of relief aid to take the care of victims. |
| publishDate |
2018 |
| dc.date.issued.fl_str_mv |
2018-08-28 |
| dc.date.accessioned.fl_str_mv |
2019-03-15T18:23:36Z |
| dc.date.available.fl_str_mv |
2019-03-15T18:23:36Z |
| 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.citation.fl_str_mv |
BONILLA LONDOÑO, Héctor Fabio. Modelo de otimização para a rede humanitária de suprimentos no Brasil. 2018. Dissertação (Mestrado em Engenharia de Produção) – Universidade Federal de São Carlos, Sorocaba, 2018. Disponível em: https://repositorio.ufscar.br/handle/20.500.14289/11078. |
| dc.identifier.uri.fl_str_mv |
https://repositorio.ufscar.br/handle/20.500.14289/11078 |
| identifier_str_mv |
BONILLA LONDOÑO, Héctor Fabio. Modelo de otimização para a rede humanitária de suprimentos no Brasil. 2018. Dissertação (Mestrado em Engenharia de Produção) – Universidade Federal de São Carlos, Sorocaba, 2018. Disponível em: https://repositorio.ufscar.br/handle/20.500.14289/11078. |
| url |
https://repositorio.ufscar.br/handle/20.500.14289/11078 |
| dc.language.iso.fl_str_mv |
por |
| language |
por |
| dc.relation.confidence.fl_str_mv |
600 600 |
| dc.relation.authority.fl_str_mv |
cec2d44f-8db7-478c-b236-12b31d48d81c |
| dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
Universidade Federal de São Carlos Câmpus Sorocaba |
| dc.publisher.program.fl_str_mv |
Programa de Pós-Graduação em Engenharia de Produção - PPGEP-So |
| dc.publisher.initials.fl_str_mv |
UFSCar |
| publisher.none.fl_str_mv |
Universidade Federal de São Carlos Câmpus Sorocaba |
| dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFSCAR instname:Universidade Federal de São Carlos (UFSCAR) instacron:UFSCAR |
| instname_str |
Universidade Federal de São Carlos (UFSCAR) |
| instacron_str |
UFSCAR |
| institution |
UFSCAR |
| reponame_str |
Repositório Institucional da UFSCAR |
| collection |
Repositório Institucional da UFSCAR |
| bitstream.url.fl_str_mv |
https://repositorio.ufscar.br/bitstreams/9f610ece-7678-4ebe-8613-f398c56cbb7b/download https://repositorio.ufscar.br/bitstreams/bae5c8ce-cddb-43e9-8cd0-36b6933b1a4f/download https://repositorio.ufscar.br/bitstreams/f62e6681-ceaa-4136-a51a-7d2fd36e836a/download https://repositorio.ufscar.br/bitstreams/1a5ed1a8-077c-46ed-a5c7-b1764d638976/download https://repositorio.ufscar.br/bitstreams/9baa5024-ef45-4d90-bb8c-afe6d1a90b21/download https://repositorio.ufscar.br/bitstreams/f9e6f1f4-5ec6-4173-8954-a6751d6eafb4/download https://repositorio.ufscar.br/bitstreams/16fa70dc-44db-40eb-bbd7-3b2eb39b4ea4/download |
| bitstream.checksum.fl_str_mv |
d7cc6335e7debaaad85852183ee952c0 25fec7f91190b56af86365398ed6c4a1 ae0398b6f8b235e40ad82cba6c50031d 4559f6c537e559562987510cda31e6f3 68b329da9893e34099c7d8ad5cb9c940 2456d8aca62a342b5d6f66eab475bdbf df3369eaa76a71e72f68f01dea96b4c6 |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositório Institucional da UFSCAR - Universidade Federal de São Carlos (UFSCAR) |
| repository.mail.fl_str_mv |
repositorio.sibi@ufscar.br |
| _version_ |
1851688881537155072 |