Shop floor control in smart factories’ era: paths and maturity model

Detalhes bibliográficos
Autor(a) principal: Bueno, Adauto Farias
Data de Publicação: 2022
Tipo de documento: Tese
Idioma: eng
Título da fonte: Repositório Institucional da UFSCAR
Texto Completo: https://repositorio.ufscar.br/handle/ufscar/17140
Resumo: Scholars and practitioners have conceived Industry 4.0 as a comprehensive set of emerging technologies clustered in smart technological ecosystems into industrial companies. Since Smart Manufacturing is at the core of this concept, Production Planning and Control (PPC) plays a “brain” role in companies because it can lead them toward Smart Factories. This Doctoral Dissertation aims to investigate the relationships between Industry 4.0’ technologies and the manufacturing industry from a Shop Floor Control/Production Planning and Control function perspective. Firstly, we delimit the relationships between Industry 4.0 and the organizational entity of PPC/SFC from an extensive Systematic Literature Review. Second, we proposed a standard framework to develop maturity models into Industry 4.0’ era. Third, we proposed and designed a focus-area and prescriptive Smart Shop Floor Control Maturity Model (S2FC MM) based on five research iterations from Design Science Research - DSR. Our S2FC MM contains five focus areas comprised of 20 key factors covered by 98 capabilities (maturity matrix). S2FC MM is a progression maturity model with five maturity levels entailing the Industry 4.0-concept. S2FC MM was validated and implemented in a steel manufacturing company.
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spelling Bueno, Adauto FariasGodinho Filho, Moacirhttp://lattes.cnpq.br/6136685270563354https://lattes.cnpq.br/6196055633133159b913ed66-f789-45d0-b5fa-d049191921cd2022-12-08T17:48:54Z2022-12-08T17:48:54Z2022-12-02BUENO, Adauto Farias. Shop floor control in smart factories’ era: paths and maturity model. 2022. Tese (Doutorado em Engenharia de Produção) – Universidade Federal de São Carlos, São Carlos, 2022. Disponível em: https://repositorio.ufscar.br/handle/ufscar/17140.https://repositorio.ufscar.br/handle/ufscar/17140Scholars and practitioners have conceived Industry 4.0 as a comprehensive set of emerging technologies clustered in smart technological ecosystems into industrial companies. Since Smart Manufacturing is at the core of this concept, Production Planning and Control (PPC) plays a “brain” role in companies because it can lead them toward Smart Factories. This Doctoral Dissertation aims to investigate the relationships between Industry 4.0’ technologies and the manufacturing industry from a Shop Floor Control/Production Planning and Control function perspective. Firstly, we delimit the relationships between Industry 4.0 and the organizational entity of PPC/SFC from an extensive Systematic Literature Review. Second, we proposed a standard framework to develop maturity models into Industry 4.0’ era. Third, we proposed and designed a focus-area and prescriptive Smart Shop Floor Control Maturity Model (S2FC MM) based on five research iterations from Design Science Research - DSR. Our S2FC MM contains five focus areas comprised of 20 key factors covered by 98 capabilities (maturity matrix). S2FC MM is a progression maturity model with five maturity levels entailing the Industry 4.0-concept. S2FC MM was validated and implemented in a steel manufacturing company.Acadêmicos e profissionais conceberam a Indústria 4.0 como um conjunto abrangente de tecnologias emergentes agrupadas em ecossistemas tecnológicos inteligentes dentro das empresas industriais. Como a Manufatura Inteligente está no centro desse conceito, o Planejamento e Controle da Produção (PCP) desempenha um papel de “cérebro” nas empresas porque pode conduzi-las como Fábricas Inteligentes. Esta Tese de Doutorado tem como objetivo investigar as relações entre as tecnologias da Indústria 4.0 e a indústria de manufatura a partir de uma perspectiva da função Controle de Chão-de-Fábrica e do Planejamento e Controle da Produção. Em primeiro lugar, delimitamos as relações entre a Indústria 4.0 e a entidade organizacional de PPC/SFC a partir de uma extensa Revisão Sistemática da Literatura. Em segundo lugar, propusemos uma estrutura padrão para desenvolver modelos de maturidade na era da Indústria 4.0. Em terceiro lugar, propusemos e projetamos um modelo prescritivo de áreas focais de maturidade para o controle de Chão-de-Fábrica inteligente com base em cinco iterações de pesquisa da Design Science Research - DSR. S2FC MM contém cinco áreas de foco compostas por 20 fatores-chave cobertos por 98 capacidades (matriz de maturidade). O S2FC MM é um modelo de maturidade de progressão com cinco níveis de maturidade que envolvem o conceito de Indústria 4.0. O S2FC MM foi validado e implementado em uma empresa siderúrgica.Não recebi financiamentoengUniversidade Federal de São CarlosCâmpus São CarlosPrograma de Pós-Graduação em Engenharia de Produção - PPGEPUFSCarAttribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessIndustry 4.0Smart Production Planning and ControlSmart ManufacturingMaturity ModelMaturity PathsArtifactsENGENHARIAS::ENGENHARIA DE PRODUCAO::GERENCIA DE PRODUCAOShop floor control in smart factories’ era: paths and maturity modelO controle de chão-de-fábrica na era das fábricas inteligentes: caminhos e modelo de maturidadeinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesis6009e5a83c6-728c-4e41-946f-fd7a8431b1d6reponame:Repositório Institucional da UFSCARinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCARCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8811https://repositorio.ufscar.br/bitstream/ufscar/17140/4/license_rdfe39d27027a6cc9cb039ad269a5db8e34MD54ORIGINALPhD Dissertation_ Adauto Farias Bueno.pdfPhD Dissertation_ Adauto Farias Bueno.pdfSHOP FLOOR CONTROL IN SMART FACTORIES’ ERAapplication/pdf4658822https://repositorio.ufscar.br/bitstream/ufscar/17140/1/PhD%20Dissertation_%20Adauto%20Farias%20Bueno.pdf270d9cea975da228119470d681f212d8MD51Carta Comprovante.pdfCarta Comprovante.pdfCarta Comprovanteapplication/pdf303891https://repositorio.ufscar.br/bitstream/ufscar/17140/3/Carta%20Comprovante.pdf0256f80331ca63016135ed709a756325MD53TEXTPhD Dissertation_ Adauto Farias Bueno.pdf.txtPhD Dissertation_ Adauto Farias Bueno.pdf.txtExtracted texttext/plain532275https://repositorio.ufscar.br/bitstream/ufscar/17140/5/PhD%20Dissertation_%20Adauto%20Farias%20Bueno.pdf.txt6f2af2b5b32109e422adbbd9949eacb6MD55Carta Comprovante.pdf.txtCarta Comprovante.pdf.txtExtracted texttext/plain1https://repositorio.ufscar.br/bitstream/ufscar/17140/7/Carta%20Comprovante.pdf.txt68b329da9893e34099c7d8ad5cb9c940MD57THUMBNAILPhD Dissertation_ Adauto Farias Bueno.pdf.jpgPhD Dissertation_ Adauto Farias Bueno.pdf.jpgIM Thumbnailimage/jpeg5804https://repositorio.ufscar.br/bitstream/ufscar/17140/6/PhD%20Dissertation_%20Adauto%20Farias%20Bueno.pdf.jpg1184d629042a33c043be701f6c06e99bMD56Carta Comprovante.pdf.jpgCarta Comprovante.pdf.jpgIM Thumbnailimage/jpeg11354https://repositorio.ufscar.br/bitstream/ufscar/17140/8/Carta%20Comprovante.pdf.jpg7f604c4b1e7acfc26e0b72619f5c9419MD58ufscar/171402023-09-18 18:32:33.668oai:repositorio.ufscar.br:ufscar/17140Repositório InstitucionalPUBhttps://repositorio.ufscar.br/oai/requestopendoar:43222023-09-18T18:32:33Repositório Institucional da UFSCAR - Universidade Federal de São Carlos (UFSCAR)false
dc.title.eng.fl_str_mv Shop floor control in smart factories’ era: paths and maturity model
dc.title.alternative.por.fl_str_mv O controle de chão-de-fábrica na era das fábricas inteligentes: caminhos e modelo de maturidade
title Shop floor control in smart factories’ era: paths and maturity model
spellingShingle Shop floor control in smart factories’ era: paths and maturity model
Bueno, Adauto Farias
Industry 4.0
Smart Production Planning and Control
Smart Manufacturing
Maturity Model
Maturity Paths
Artifacts
ENGENHARIAS::ENGENHARIA DE PRODUCAO::GERENCIA DE PRODUCAO
title_short Shop floor control in smart factories’ era: paths and maturity model
title_full Shop floor control in smart factories’ era: paths and maturity model
title_fullStr Shop floor control in smart factories’ era: paths and maturity model
title_full_unstemmed Shop floor control in smart factories’ era: paths and maturity model
title_sort Shop floor control in smart factories’ era: paths and maturity model
author Bueno, Adauto Farias
author_facet Bueno, Adauto Farias
author_role author
dc.contributor.authorlattes.por.fl_str_mv https://lattes.cnpq.br/6196055633133159
dc.contributor.author.fl_str_mv Bueno, Adauto Farias
dc.contributor.advisor1.fl_str_mv Godinho Filho, Moacir
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/6136685270563354
dc.contributor.authorID.fl_str_mv b913ed66-f789-45d0-b5fa-d049191921cd
contributor_str_mv Godinho Filho, Moacir
dc.subject.eng.fl_str_mv Industry 4.0
Smart Production Planning and Control
Smart Manufacturing
Maturity Model
Maturity Paths
Artifacts
topic Industry 4.0
Smart Production Planning and Control
Smart Manufacturing
Maturity Model
Maturity Paths
Artifacts
ENGENHARIAS::ENGENHARIA DE PRODUCAO::GERENCIA DE PRODUCAO
dc.subject.cnpq.fl_str_mv ENGENHARIAS::ENGENHARIA DE PRODUCAO::GERENCIA DE PRODUCAO
description Scholars and practitioners have conceived Industry 4.0 as a comprehensive set of emerging technologies clustered in smart technological ecosystems into industrial companies. Since Smart Manufacturing is at the core of this concept, Production Planning and Control (PPC) plays a “brain” role in companies because it can lead them toward Smart Factories. This Doctoral Dissertation aims to investigate the relationships between Industry 4.0’ technologies and the manufacturing industry from a Shop Floor Control/Production Planning and Control function perspective. Firstly, we delimit the relationships between Industry 4.0 and the organizational entity of PPC/SFC from an extensive Systematic Literature Review. Second, we proposed a standard framework to develop maturity models into Industry 4.0’ era. Third, we proposed and designed a focus-area and prescriptive Smart Shop Floor Control Maturity Model (S2FC MM) based on five research iterations from Design Science Research - DSR. Our S2FC MM contains five focus areas comprised of 20 key factors covered by 98 capabilities (maturity matrix). S2FC MM is a progression maturity model with five maturity levels entailing the Industry 4.0-concept. S2FC MM was validated and implemented in a steel manufacturing company.
publishDate 2022
dc.date.accessioned.fl_str_mv 2022-12-08T17:48:54Z
dc.date.available.fl_str_mv 2022-12-08T17:48:54Z
dc.date.issued.fl_str_mv 2022-12-02
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
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dc.identifier.citation.fl_str_mv BUENO, Adauto Farias. Shop floor control in smart factories’ era: paths and maturity model. 2022. Tese (Doutorado em Engenharia de Produção) – Universidade Federal de São Carlos, São Carlos, 2022. Disponível em: https://repositorio.ufscar.br/handle/ufscar/17140.
dc.identifier.uri.fl_str_mv https://repositorio.ufscar.br/handle/ufscar/17140
identifier_str_mv BUENO, Adauto Farias. Shop floor control in smart factories’ era: paths and maturity model. 2022. Tese (Doutorado em Engenharia de Produção) – Universidade Federal de São Carlos, São Carlos, 2022. Disponível em: https://repositorio.ufscar.br/handle/ufscar/17140.
url https://repositorio.ufscar.br/handle/ufscar/17140
dc.language.iso.fl_str_mv eng
language eng
dc.relation.confidence.fl_str_mv 600
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dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal de São Carlos
Câmpus São Carlos
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Engenharia de Produção - PPGEP
dc.publisher.initials.fl_str_mv UFSCar
publisher.none.fl_str_mv Universidade Federal de São Carlos
Câmpus São Carlos
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