O uso da abordagem fuzzy-ahp e fuzzy sets para facilitar a utilização da filosofia lean manufacturing em indústrias

Detalhes bibliográficos
Autor(a) principal: Bueno, Wagner Pietrobelli
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
dARK ID: ark:/26339/0013000004scm
Texto Completo: http://repositorio.ufsm.br/handle/1/12973
Resumo: The importance of decision-making is All human beings who wish to solve or make improvements in a particular environment or situation. With this bias, the intuitive illustration for lean production processes, the Is not di erent but complex. Out of a range of global market information, Managers keep themselves in often di cult situations to solve them. When you wish Apply the Lean Manufacturing methodology in manufacturing processes, some decisions need to be considered More important than others by the team due to the exibility of uncertainties about possible scenarios that May occur in production. Therefore, the main scope of this work contributes to Uncertainties in the manufacturing dimensional module, for conjunction of the methodology Lean Manufacturing. In this sense, the objective has centered the attentions to structure hierarchically An intelligent approach that facilitates lean lean application processes in the manufacturing sector. Like this, The proposal was analyzed using the mathematical tools Fuzzy - Analytic Hierarchy Process (FAHP) and Such as simulation analysis in Fuzzy Sets scenarios. For the development of the research, A multicriterial FAHP analysis and computational system for Fuzzy Sets. As data entry was used of the individual parity matrices of three managers And nine production supervisors using the focal group technique. The responses were collected through the Application in which the role of moderator was carried out by the researcher himself, with six constructs and 33 subconstructs In three companies from di erent branches, but from the manufacturing sector with production on demand. These companies are located in Nova Esperança do Sul-RS; Santa Maria-RS; Nova Hartz-RS. In this way, as a research methodology, the approach used was that of Qualitative and quantitative format. As actual answers on the operations of the industries in the current scope, the analysis FAHP presented a proposal with a reliability of 50 % for lean applications according to the respondents. When designing simulations Of scenarios in production, the reliability estimate was 70.29 %. Thus, the proposed hierarchy to be developed In industries for lean system implementations may occur through the simulated approach of fuzzy sets. It is understood that The success of lean implementation will depend on variables such as time, infrastructure and culture of each industry.
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spelling O uso da abordagem fuzzy-ahp e fuzzy sets para facilitar a utilização da filosofia lean manufacturing em indústriasThe use of the fuzzy-ahp and fuzzy sets approach to facilitate the use of lean manufacturing philosophy in industriesConjuntos fuzzyFAHPProduçãoTomada de decisãoLean manufacturingCNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAOThe importance of decision-making is All human beings who wish to solve or make improvements in a particular environment or situation. With this bias, the intuitive illustration for lean production processes, the Is not di erent but complex. Out of a range of global market information, Managers keep themselves in often di cult situations to solve them. When you wish Apply the Lean Manufacturing methodology in manufacturing processes, some decisions need to be considered More important than others by the team due to the exibility of uncertainties about possible scenarios that May occur in production. Therefore, the main scope of this work contributes to Uncertainties in the manufacturing dimensional module, for conjunction of the methodology Lean Manufacturing. In this sense, the objective has centered the attentions to structure hierarchically An intelligent approach that facilitates lean lean application processes in the manufacturing sector. Like this, The proposal was analyzed using the mathematical tools Fuzzy - Analytic Hierarchy Process (FAHP) and Such as simulation analysis in Fuzzy Sets scenarios. For the development of the research, A multicriterial FAHP analysis and computational system for Fuzzy Sets. As data entry was used of the individual parity matrices of three managers And nine production supervisors using the focal group technique. The responses were collected through the Application in which the role of moderator was carried out by the researcher himself, with six constructs and 33 subconstructs In three companies from di erent branches, but from the manufacturing sector with production on demand. These companies are located in Nova Esperança do Sul-RS; Santa Maria-RS; Nova Hartz-RS. In this way, as a research methodology, the approach used was that of Qualitative and quantitative format. As actual answers on the operations of the industries in the current scope, the analysis FAHP presented a proposal with a reliability of 50 % for lean applications according to the respondents. When designing simulations Of scenarios in production, the reliability estimate was 70.29 %. Thus, the proposed hierarchy to be developed In industries for lean system implementations may occur through the simulated approach of fuzzy sets. It is understood that The success of lean implementation will depend on variables such as time, infrastructure and culture of each industry.Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPqA importância da tomada de decisão está relacionada constantemente a todos os seres humanos que desejam solucionar ou fazer melhorias em determinado ambiente ou situação. Com este viés, a ilustração intuitiva para os processos enxutos em produção, o eixo decis ório não é diferente e sim complexo. Oriundo de uma gama de informações de mercado global, gestores mantém-se em situações muitas vezes difíceis de resolve-las. Ao desejar aplicar a metodologia Lean Manufacturing em processos fabris, algumas decisões precisam ser consideradas mais importantes que outras pela equipe devido à exibilidade de incertezas sobre possíveis cenários que podem ocorrer na produção. Para tanto, o escopo principal desse trabalho contribuí para adequações de incertezas no módulo dimensional de fabricação, para conjunção da metodologia Lean Manufacturing. Nesse sentido, o objetivo centralizou as atenções para estruturar hierarquicamente uma abordagem inteligente que facilite os processos para aplicabilidade enxuta Lean no setor manufatureiro. Assim, a proposta transcorreu com o auxilio analítico das ferramentas matemáticas Fuzzy - Analytic Hierarchy Process (FAHP) e como análise de simulação em cenários Fuzzy Sets (Conjuntos Fuzzy). Para o desenvolvimento da pesquisa foi realizado uma análise multicriterial FAHP e sistema computacional para Fuzzy Sets. Como entrada de dados utilizou-se das matrizes paritárias e individuais entre três gestores e nove supervisores especialistas em produção utilizando a técnica de grupo focal. As respostas foram coletadas por meio da aplicação categórica, no qual o papel de moderador foi realizado pelo próprio pesquisador, com seis constructos e 33 subconstructos em três empresas de ramos diferentes, mas do setor manufatureiro com produção sob pedido. Essas empresas localizam-se em Nova Esperança do Sul-RS; Santa Maria-RS; Nova Hartz-RS. Dessa forma, como metodologia de pesquisa a abordagem utilizada foi de multicaso considerando-a de formato qualitativa e quantitativa. Como respostas reais sobre as operações das indústrias no âmbito atual, a análise FAHP apresentou uma proposta com grau de con abilidade de 50% para aplica- ções enxutas conforme os respondentes. Ao projetar simulações de cenários na produção, a estimativa de con abilidade foi de 70.29%. Sendo assim, a proposta de hierarquização a ser desenvolvida nas indústrias para implementações de sistemas enxutos poderão ocorrer por meio da abordagem simulada dos conjuntos fuzzy. Compreende-se que o sucesso da aplicação enxuta dependerá de variáveis como, tempo, infraestrutura e cultura de cada indústria.Universidade Federal de Santa MariaBrasilEngenharia de ProduçãoUFSMPrograma de Pós-Graduação em Engenharia de ProduçãoCentro de TecnologiaGodoy, Leoni Pentiadohttp://lattes.cnpq.br/7499692835204617Stefano, Nara Medianeirahttp://lattes.cnpq.br/2043932840117404Ansuj, Angela Pellegrinhttp://lattes.cnpq.br/4331195282444316Evangelista, Mario Luiz Santoshttp://lattes.cnpq.br/1880377231722847Bueno, Wagner Pietrobelli2018-04-13T14:14:05Z2018-04-13T14:14:05Z2017-02-23info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://repositorio.ufsm.br/handle/1/12973ark:/26339/0013000004scmporAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2022-06-02T15:42:38Zoai:repositorio.ufsm.br:1/12973Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2022-06-02T15:42:38Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv O uso da abordagem fuzzy-ahp e fuzzy sets para facilitar a utilização da filosofia lean manufacturing em indústrias
The use of the fuzzy-ahp and fuzzy sets approach to facilitate the use of lean manufacturing philosophy in industries
title O uso da abordagem fuzzy-ahp e fuzzy sets para facilitar a utilização da filosofia lean manufacturing em indústrias
spellingShingle O uso da abordagem fuzzy-ahp e fuzzy sets para facilitar a utilização da filosofia lean manufacturing em indústrias
Bueno, Wagner Pietrobelli
Conjuntos fuzzy
FAHP
Produção
Tomada de decisão
Lean manufacturing
CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO
title_short O uso da abordagem fuzzy-ahp e fuzzy sets para facilitar a utilização da filosofia lean manufacturing em indústrias
title_full O uso da abordagem fuzzy-ahp e fuzzy sets para facilitar a utilização da filosofia lean manufacturing em indústrias
title_fullStr O uso da abordagem fuzzy-ahp e fuzzy sets para facilitar a utilização da filosofia lean manufacturing em indústrias
title_full_unstemmed O uso da abordagem fuzzy-ahp e fuzzy sets para facilitar a utilização da filosofia lean manufacturing em indústrias
title_sort O uso da abordagem fuzzy-ahp e fuzzy sets para facilitar a utilização da filosofia lean manufacturing em indústrias
author Bueno, Wagner Pietrobelli
author_facet Bueno, Wagner Pietrobelli
author_role author
dc.contributor.none.fl_str_mv Godoy, Leoni Pentiado
http://lattes.cnpq.br/7499692835204617
Stefano, Nara Medianeira
http://lattes.cnpq.br/2043932840117404
Ansuj, Angela Pellegrin
http://lattes.cnpq.br/4331195282444316
Evangelista, Mario Luiz Santos
http://lattes.cnpq.br/1880377231722847
dc.contributor.author.fl_str_mv Bueno, Wagner Pietrobelli
dc.subject.por.fl_str_mv Conjuntos fuzzy
FAHP
Produção
Tomada de decisão
Lean manufacturing
CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO
topic Conjuntos fuzzy
FAHP
Produção
Tomada de decisão
Lean manufacturing
CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO
description The importance of decision-making is All human beings who wish to solve or make improvements in a particular environment or situation. With this bias, the intuitive illustration for lean production processes, the Is not di erent but complex. Out of a range of global market information, Managers keep themselves in often di cult situations to solve them. When you wish Apply the Lean Manufacturing methodology in manufacturing processes, some decisions need to be considered More important than others by the team due to the exibility of uncertainties about possible scenarios that May occur in production. Therefore, the main scope of this work contributes to Uncertainties in the manufacturing dimensional module, for conjunction of the methodology Lean Manufacturing. In this sense, the objective has centered the attentions to structure hierarchically An intelligent approach that facilitates lean lean application processes in the manufacturing sector. Like this, The proposal was analyzed using the mathematical tools Fuzzy - Analytic Hierarchy Process (FAHP) and Such as simulation analysis in Fuzzy Sets scenarios. For the development of the research, A multicriterial FAHP analysis and computational system for Fuzzy Sets. As data entry was used of the individual parity matrices of three managers And nine production supervisors using the focal group technique. The responses were collected through the Application in which the role of moderator was carried out by the researcher himself, with six constructs and 33 subconstructs In three companies from di erent branches, but from the manufacturing sector with production on demand. These companies are located in Nova Esperança do Sul-RS; Santa Maria-RS; Nova Hartz-RS. In this way, as a research methodology, the approach used was that of Qualitative and quantitative format. As actual answers on the operations of the industries in the current scope, the analysis FAHP presented a proposal with a reliability of 50 % for lean applications according to the respondents. When designing simulations Of scenarios in production, the reliability estimate was 70.29 %. Thus, the proposed hierarchy to be developed In industries for lean system implementations may occur through the simulated approach of fuzzy sets. It is understood that The success of lean implementation will depend on variables such as time, infrastructure and culture of each industry.
publishDate 2017
dc.date.none.fl_str_mv 2017-02-23
2018-04-13T14:14:05Z
2018-04-13T14:14:05Z
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 http://repositorio.ufsm.br/handle/1/12973
dc.identifier.dark.fl_str_mv ark:/26339/0013000004scm
url http://repositorio.ufsm.br/handle/1/12973
identifier_str_mv ark:/26339/0013000004scm
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Engenharia de Produção
UFSM
Programa de Pós-Graduação em Engenharia de Produção
Centro de Tecnologia
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Engenharia de Produção
UFSM
Programa de Pós-Graduação em Engenharia de Produção
Centro de Tecnologia
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com
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