Industry 4.0: technical qualifications for the fourth industrial revolution in Brazil

Autores

DOI:

https://doi.org/10.15675/gepros.v17i4.2923

Palavras-chave:

indústria 4.0, trabalho, Engenharia Organizacional

Resumo

Purpose – To research and present the manner in which the technical qualifications needed for Industry 4.0 (I4.0) are addressed by graduate courses studied and manufacturing companies in Brazil.

Theoretical framework – New technical requirements linked to the new I4.0 scenario imply the need to provide new forms of training for the workforce. This requirement has become important both for workers to remain competitive in the job market, as well as for the organizations themselves within the business market.

Design/methodology/approach – A document review of the syllabuses and subjects of 24 lato sensu graduate courses studied and 56 job vacancies related to I4.0, which classifies this study as a time-restricted and exploratory study.

Findings – The results show that, of the nine technological categories of I4.0 researched, greater importance is placed on Big Data (58%) and integrated systems (36%) by companies, and in graduate courses studied, importance is placed on Big Data (29%), the Internet of Things (14%), integrated systems (13%) and information security (12%).

Research, practical and social implications – The main practical and social implications of this study are related to a need for HEIs to discuss a common set of knowledge with businesses regarding various areas of training.

Originality/value – This study contributes to the identification of the skills needed by workers in I4.0 to warn company HR departments regarding the need for training in these skills, and the need in turn for companies to be aware of the complexity that I4.0 represents.

Keywords - Industry 4.0; Technology I4.0; Jobs; Education.

Biografia do Autor

Francis Meneghetti

PPGA - UTFPR

Referências

ABDULHAMEED, O.; AL-AHMARI, A.; AMEEN, W.; MIAN, S. H. Additive manufacturing: Challenges, trends, and applications. Advances in Mechanical Engineering, v. 11, n. 2, p. 1-27, 2019. DOI: https://doi.org/10.1177/1687814018822880

ASHTON, K. That ‘internet of things’ thing. RFID journal, V. 22, n. 7, p. 97-114, 2009.

AZEVEDO, A. A.; GONTIJO, T. S. Habilidades, competências e o perfil do profissional de Engenharia de Produção no sudeste brasileiro. Formação@Docente, v. 9, n.2, p. 96-109, 2017.

BAHRIN, M. A. K.; OTHMAN, M. F.; AZLI, N. H. N.; TALIB, M. F. Industry 4.0: A review on industrial automation and robotic. Jurnal teknologi, v. 78, p. 6-13, 2016. DOI: https://doi.org/10.11113/jt.v78.9285

BARDIN, L. Análise de conteúdo. 1. ed. São Paulo: Edições 70, 2016

BLAYONE, T. J.; VANOOSTVEEN, R. Prepared for work in Industry 4.0? Modelling the target activity system and five dimensions of worker readiness. International Journal of Computer Integrated Manufacturing, v. 34, n. 1, p. 1-19, 2021. DOI: https://doi.org/10.1080/0951192X.2020.1836677

BORCHARDT, M.; VACCARO, G. L. R.; AZEVEDO, D.; PONTE JR, J. O perfil do engenheiro de produção: a visão de empresas da região metropolitana de Porto Alegre. Production, v. 19, n. 2, p. 230-248, 2009. DOI: https://doi.org/10.1590/S0103-65132009000200002

BRYMAN, A.; BELL, E. Business research methods. 3. ed. Oxford: Oxford University Press, 2011.

BUHR, D. Social innovation policy for Industry 4.0. 1. ed. Bonn: Friedrich-Ebert- Stiftung, 2015.

CHEN, M.; MAO, S.; LIU, Y. Big data: a survey. Mobile networks and applications, v. 19, p. 171–209, 2014. DOI: https://doi.org/10.1007/s11036-013-0489-0

CHENG, F. T.; TIENG, H.; YANG, H. C.; HUNG, M. H.; LIN, Y. C.; WEI, C. F.; SHIEH, Z. Y. Industry 4.1 for wheel machining automation. IEEE Robotics and Automation Letters, v. 1, n. 1, p. 332-339, 2016. DOI: https://doi.org/10.1109/LRA.2016.2517208

CHOI, T. M.; WALLACE, S. W.; WANG, Y. Big data analytics in operations management. Production and Operations Management, v. 27, n. 10, p. 1868-1883, 2018. DOI: https://doi.org/10.1111/poms.12838

CHUEKE, G. V.; LIMA, M. C. Pesquisa Qualitativa: evolução e critérios. Revista Espaço Acadêmico, v. 11, n. 128, p. 63–69, 2012.

ČOLAKOVIĆ, A.; HADŽIALIĆ, M. Internet of Things (IoT): A review of enabling technologies, challenges, and open research issues. Computer networks, v. 144, p. 17-39, 2018. DOI: https://doi.org/10.1016/j.comnet.2018.07.017

DANESHMAND, M.; NOROOZI, F.; CORNEANU, C.; MAFAKHERI, F.; FIORINI, P. Industry 4.0 and prospects of circular economy: a survey of robotic assembly and disassembly. The International Journal of Advanced Manufacturing Technology, p. 1-28, 2022. DOI: https://doi.org/10.1007/s00170-021-08389-1

DIAN, F. J.; VAHIDNIA, R.; RAHMATI, A. Wearables and the Internet of Things (IoT), applications, opportunities, and challenges: A Survey. IEEE Access, v. 8, p. 69200-69211, 2020. DOI: https://doi.org/10.1109/ACCESS.2020.2986329

DONATO, M.; FIORENTINO, M.; UVA, A. E.; GATTULLO, M.; MONNO, G. Text legibility for projected Augmented Reality on industrial workbenches. Computers in Industry, v. 70, p. 70-78, 2015. DOI: https://doi.org/10.1016/j.compind.2015.02.008

DUQUE, B. E. D.; DIAS, L. G.; FERREIRA, A. L. F. A influência da quarta revolução industrial no papel do administrador. Revista de Trabalhos Acadêmicos–Universo Juiz de Fora, v. 1, n. 6, 2018.

EROL, S.; JÄGER, A.; HOLD, P.; OTT, K.; SIHN, W. Tangible Industry 4.0: a scenario-based approach to learning for the future of production. Procedia CiRp, v. 54, p. 13-18, 2016. DOI: https://doi.org/10.1016/j.procir.2016.03.162

FERNÁNDEZ-CARAMÉS, T. M.; FRAGA-LAMAS, P.; SUÁREZ-ALBELA, M.; VILAR-MONTESINOS, M. A fog computing and cloudlet based augmented reality system for the industry 4.0 shipyard. Sensors, v. 18, n. 6, p. 1798, 2018. DOI: https://doi.org/10.3390/s18061798

FLICK, U.; VON KARDOFF, E.; STEINKE, I. What is qualitative research? An introduction to field. In U. Flick, E. von Kardoff, & I. Steinke (Eds.), A companion to qualitative research (1st ed., Vol. 1, pp. 3–11). SAGE Publications, 2004.

FLORESCU, A.; BARABAS, S. A. Modeling and simulation of a flexible manufacturing system—A basic component of industry 4.0. Applied Sciences, v. 10, n. 22, p. 8300-8323, 2020. DOI: https://doi.org/10.3390/app10228300

FOIDL, H.; FELDERER, M. Research challenges of industry 4.0 for quality management. In International conference on enterprise resource planning systems (pp. 121-137). Springer, Cham, 2015. DOI: https://doi.org/10.1007/978-3-319-32799-0_10

FONSECA, M.; FONSECA, D. M. D. A gestão acadêmica da pós-graduação lato sensu: o papel do coordenador para a qualidade dos cursos. Educação e Pesquisa, v. 42, p. 151-164, 2016. DOI: https://doi.org/10.1590/S1517-9702201603136263

FRANCO, M. Análise de conteúdo. 2. ed. Brasília: Liber, 2005.

FRAZIER, W. E. Metal additive manufacturing: a review. Journal of Materials Engineering and performance, v. 23, n. 6, p. 1917-1928, 2014. DOI: https://doi.org/10.1007/s11665-014-0958-z

GATTULLO, M.; SCURATI, G. W.; FIORENTINO, M.; UVA, A. E.; FERRISE, F.; BORDEGONI, M. (2019). Towards augmented reality manuals for industry 4.0: A methodology. Robotics and Computer-Integrated Manufacturing, v. 56, p. 276-286, 2019. DOI: https://doi.org/10.1016/j.rcim.2018.10.001

GHASEMAGHAEI, M. Understanding the impact of big data on firm performance: The necessity of conceptually differentiating among big data characteristics. International Journal of Information Management, v. 57, 102055, 2021. DOI: https://doi.org/10.1016/j.ijinfomgt.2019.102055

HOFMANN, E.; RÜSCH, M. Industry 4.0 and the current status as well as future prospects on logistics. Computers in industry, v. 89, p. 23-34, 2017. DOI: https://doi.org/10.1016/j.compind.2017.04.002

JABBOUR, A. B.; JABBOUR, C. J. C.; GODINHO FILHO, M.; ROUBAUD, D. Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations. Annals of Operations Research, v. 270, n. 1, p. 273-286, 2018. DOI: https://doi.org/10.1007/s10479-018-2772-8

KANG, H. S.; LEE, J. Y.; CHOI, S.; KIM, H.; PARK, J. H.; SON, J. Y.; .... NOH, S. D. SMART manufacturing: Past research, present findings, and future directions. International journal of precision engineering and manufacturing-green technology, v. 3, n. 1, p. 111-128, 2016. DOI: https://doi.org/10.1007/s40684-016-0015-5

KARNIK, N.; BORA, U.; BHADRI, K.; KADAMBI, P.; DHATRAK, P. A Comprehensive study on Current and Future Trends towards the Characteristics and Enablers of Industry 4.0. Journal of Industrial Information Integration, v. 27, 100294, 2021. DOI: https://doi.org/10.1016/j.jii.2021.100294

KAZANCOGLU, Y.; OZKAN-OZEN, Y. D. Analyzing Workforce 4.0 in the Fourth Industrial Revolution and proposing a road map from operations management perspective with fuzzy DEMATEL. Journal of enterprise information management, v. 31, p. 391-807, 2018. DOI: https://doi.org/10.1108/JEIM-01-2017-0015

KHAN, R.; KHAN, S. U. Design and implementation of an automated network monitoring and reporting back system. Journal of Industrial Information Integration, v. 9, p. 24-34, 2018. DOI: https://doi.org/10.1016/j.jii.2017.11.001

KHANNA, A.; KAUR, S. Internet of things (IoT), applications and challenges: a comprehensive review. Wireless Personal Communications, v. 114. n. 2, p. 1687-1762, 2020. DOI: https://doi.org/10.1007/s11277-020-07446-4

KIEL, D.; MÜLLER, J. M.; ARNOLD, C.; VOIGT, K. I. Sustainable industrial value creation: Benefits and challenges of industry 4.0. Digital Disruptive Innovation, v. 21, p. 1-34, 2020. DOI: https://doi.org/10.1142/9781786347602_0009

KITCHIN, R.; MCARDLE, G. What makes big data, big data? Exploring the ontological characteristics of 26 datasets. Big Data and Society, v. 3, n. 1, p. 1-10, 2016. DOI: https://doi.org/10.1177/2053951716631130

LEE, J.; BAGHERI, B.; KAO, H. A. A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing letters, v. 3, p. 18-23, 2015. DOI: https://doi.org/10.1016/j.mfglet.2014.12.001

LEMOS, A. H. D. C.; PINTO, M. C. S. Empregabilidade dos administradores: quais os perfis profissionais demandados pelas empresas?. Cadernos ebape, v. 6, n. 4, p. 01-15, 2008. DOI: https://doi.org/10.1590/S1679-39512008000400010

LEZZI, M.; LAZOI, M.; CORALLO, A. Cybersecurity for Industry 4.0 in the current literature: A reference framework. Computers in Industry, v. 103, p. 97-110, 2018). DOI: https://doi.org/10.1016/j.compind.2018.09.004

LORENZ, M.; RÜßMANN, M.; STRACK, R.; LUETH, K. L.; BOLLE, M. Man and machine in industry 4.0: How will technology transform the industrial workforce through 2025. Boston: BCG, 2015.

MACDOUGALL, W. Industrie 4.0, Germany Market Report and Outlook. Germany Trade & Invest. Berlin, 1, p. 1-16, 2018.

MARCIANO, E. M.; DOS SANTOS AMARANTE, M.; DA SILVA BAPTISTELLI, E.; KUSANO, D. A. R.; BARBARÁ, J. F. F.; MEGURO, A. L., ... GERIBELLO, R. S. indústria 4.0 – integração de sistema. Revista Pesquisa e Ação, v. 5, n. 1, p. 75-92, 2019.

MARINO, E.; BARBIERI, L.; COLACINO, B.; FLERI, A. K.; BRUNO, F. An Augmented Reality inspection tool to support workers in Industry 4.0 environments. Computers in Industry, 127, 103412, 2021. DOI: https://doi.org/10.1016/j.compind.2021.103412

MASOOD, T.; EGGER, J. Augmented reality in support of Industry 4.0—Implementation challenges and success factors. Robotics and Computer-Integrated Manufacturing, n. 58, p. 181-195, 2019. DOI: https://doi.org/10.1016/j.rcim.2019.02.003

MO, H.; WAGLE, N. S.; ZUBA, M. Cyber-physical systems. XRDS: Crossroads, The ACM Magazine for Students, v. 20, n. 3, p. 8-9, 2014. DOI: https://doi.org/10.1145/2590778

MOHAMMED, W. M.; RAMIS FERRER, B.; IAROVYI, S.; NEGRI, E.; FUMAGALLI, L.; LOBOV, A.; MARTINEZ LASTRA, J. L. Generic platform for manufacturing execution system functions in knowledge-driven manufacturing systems. International Journal of Computer Integrated Manufacturing, v. 31, n. 3, p. 262-274, 2018. DOI: https://doi.org/10.1080/0951192X.2017.1407874

MORENO, A.; VELEZ, G.; ARDANZA, A.; BARANDIARAN, I.; DE INFANTE, Á. R.; CHOPITEA, R. Virtualisation process of a sheet metal punching machine within the Industry 4.0 vision. International Journal on Interactive Design and Manufacturing, v. 11, n.2, p. 365-373, 2017. DOI: https://doi.org/10.1007/s12008-016-0319-2

OTTONICAR, S. L. C.; VALENTIM, M. L. P. A competência em informação no contexto do trabalho: uma revisão sistemática da literatura voltada para industria 4.0. Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação, v. 24, n. 56, p. 1-21, 2019. DOI: https://doi.org/10.5007/1518-2924.2019.e65145

PAIVA, K. C. M.; FERREIRA, L. S. Competências Gerenciais na área de Tecnologia de Informação: um estudo com gestores de empresas localizadas no Triângulo Mineiro. Revista Gestão & Tecnologia, v. 13, n. 1, p. 205-229, 2013.

PAIVA, R. V. C.; DE MELO COSTA, D.; BORGES, F. R.; DE PAULA FREITAS, M. V. Expectativas e frustrações com a oferta de cursos de pós-graduação lato sensu. Revista Gestão Universitária na América Latina-GUAL, v. 10, n. 2, p. 71-90, 2017. DOI: https://doi.org/10.5007/1983-4535.2017v10n2p71

PASZKIEWICZ, A.; BOLANOWSKI, M.; BUDZIK, G.; PRZESZŁOWSKI, Ł.; OLEKSY, M. Process of creating an integrated design and manufacturing environment as part of the structure of industry 4.0. Processes, v. 8, n. 9, 1019, 2020. DOI: https://doi.org/10.3390/pr8091019

PAWAR, V. M.; LAW, J.; MAPLE, C. Manufacturing Robotics: The Next Robotic Industrial Revolution. UK-RAS Network, n. 1, p. 1-28, 2016. DOI: https://doi.org/10.31256/WP2016.1

PEINADO, J.; GRAEML, A. R. Research, Teaching and Practice of Operations Management: Consonances and Divergences among Three Worlds. Revista de Administração Contemporânea, v. 18, n. 5, p. 627-649, 2014. DOI: https://doi.org/10.1590/1982-7849rac20141659

PEJIC-BACH, M.; BERTONCEL, T.; MEŠKO, M.; KRSTIĆ, Ž. Text mining of industry 4.0 job advertisements. International journal of information management, n. 50, p. 416-431, 2020. DOI: https://doi.org/10.1016/j.ijinfomgt.2019.07.014

PICOTO, W. N.; CRESPO, N. F.; CARVALHO, F. K. A influência da estrutura tecnologia-organização-ambiente e da orientação estratégica no uso da computação em nuvem, mobilidade empresarial e desempenho. Revista Brasileira de Gestão de Negócios, n. 23, p. 278-300, 2021.

PILATI, O. Especialização: falacia ou conhecimento aprofundado?. Revista Brasileira de Pos-Graduacao, v. 3, n. 5, p. 7-27, 2006.

PIVOTO, D. G.; DE ALMEIDA, L. F.; DA ROSA RIGHI, R.; RODRIGUES, J. J., LUGLI, A. B.; ALBERTI, A. M. Cyber-physical systems architectures for industrial internet of things applications in Industry 4.0: A literature review. Journal of manufacturing systems, n. 58, p. 176-192, 2021. DOI: https://doi.org/10.1016/j.jmsy.2020.11.017

RAUSCHNABEL, P. A.; BABIN, B. J.; TOM DIECK, M. C.; KREY, N.; JUNG, T. What is augmented reality marketing? Its definition, complexity, and future. Journal of Business Research, n. 142, p. 1140-1150, 2022. DOI: https://doi.org/10.1016/j.jbusres.2021.12.084

REISCHAUER, G.; SCHOBER, L. Controlling von Industrie 4.0-Prozessen. Controlling & Management Review, v. 59, n. 5, p. 22-28, 2015. DOI: https://doi.org/10.1007/s12176-015-0614-y

RODIČ, B. Industry 4.0 and the new simulation modelling paradigm. Organizacija, v. 50, n. 3, p. 193-207, 2017. DOI: https://doi.org/10.1515/orga-2017-0017

RONZONI, M.; ACCORSI, R.; BOTTI, L.; MANZINI, R. A support-design framework for Cooperative Robots systems in labor-intensive manufacturing processes. Journal of Manufacturing Systems, n. 61, p. 646-657, 2021. DOI: https://doi.org/10.1016/j.jmsy.2021.10.008

RÜßMANN, M.; LORENZ, M.; GERBERT, P.; WALDNER, M.; JUSTUS, J.; ENGEL, P.; HARNISCH, M. Industry 4.0: The future of productivity and growth in manufacturing industries. Boston consulting group, v. 9, n. 1, p. 54-89, 2015.

SAGGI, M. K.; JAIN, S. A survey towards an integration of big data analytics to big insights for value-creation. Information Processing & Management, v. 54, n. 5, p. 758-790, 2018. DOI: https://doi.org/10.1016/j.ipm.2018.01.010

SALAMA, S.; ELTAWIL, A. B. A decision support system architecture based on simulation optimization for cyber-physical systems. Procedia Manufacturing, n. 26, p. 1147-1158, 2018. DOI: https://doi.org/10.1016/j.promfg.2018.07.151

SARDO, I. E.; FUNCK, J. P. M.; BACH, M. O Tratado de Assunção e a Readequação do Parque Industrial Brasileiro. Revista Perspectiva: reflexões sobre a temática internacional, v. 14, n.26, 2021.

SAUCEDO-MARTÍNEZ, J. A.; PÉREZ-LARA, M.; MARMOLEJO-SAUCEDO, J. A.; SALAIS-FIERRO, T. E.; VASANT, P. Industry 4.0 framework for management and operations: a review. Journal of ambient intelligence and humanized computing, v. 9, n. 3, p. 789-801, 2018. DOI: https://doi.org/10.1007/s12652-017-0533-1

SAVIANI, D. A pós-graduação em educação no Brasil: trajetória, situação atual e perspectivas. Revista Diálogo Educacional, v. 1, n. 1, p. 1-95, 2000. DOI: https://doi.org/10.7213/rde.v1i1.3211

SILVA, R. P.; GALEGALE, N. V. O efeito da implementação dos sistemas ERP e CRM na satisfação dos clientes. Revista Científica Hermes, n. 27, p. 184-207, 2020. DOI: https://doi.org/10.21710/rch.v27i0.540

SIMA, V.; GHEORGHE, I. G.; SUBIĆ, J.; NANCU, D. Influences of the industry 4.0 revolution on the human capital development and consumer behavior: A systematic review. Sustainability, v, 12, n. 10, 4035, 2020. DOI: https://doi.org/10.3390/su12104035

SMITH, J. S. Survey on the use of simulation for manufacturing system design and operation. Journal of manufacturing systems, v. 22, n. 2, p. 157-171, 2003. DOI: https://doi.org/10.1016/S0278-6125(03)90013-6

SUNG, T. K. Industry 4.0: a Korea perspective. Technological forecasting and social change, n. 132, p. 40-45, 2018. DOI: https://doi.org/10.1016/j.techfore.2017.11.005

TAO, F.; QI, Q.; WANG, L.; NEE, A. Y. C. Digital twins and cyber–physical systems toward smart manufacturing and industry 4.0: Correlation and comparison. Engineering, v. 5, n. 4, p. 653-661, 2019. DOI: https://doi.org/10.1016/j.eng.2019.01.014

TAO, F.; WANG, Y.; ZUO, Y.; YANG, H.; ZHANG, M. Internet of Things in product life-cycle energy management. Journal of Industrial Information Integration, n. 1, p. 26-39, 2016. DOI: https://doi.org/10.1016/j.jii.2016.03.001

TAUIL, A.; MAINARDES, E. W. Escolha de cursos de pós-graduação lato sensu e os seus fatores determinantes. Revista Gestão Universitária na América Latina-GUAL, v. 8, n. 3, p. 219-239, 2015. DOI: https://doi.org/10.5007/1983-4535.2015v8n3p219

TESSARINI, G.; SALTORATO, P. Impactos da indústria 4.0 na organização do trabalho: uma revisão sistemática da literatura. Revista Produção Online, v. 18, n. 2, p. 743-769, 2018. DOI: https://doi.org/10.14488/1676-1901.v18i2.2967

THAMES, L.; SCHAEFER, D. Cybersecurity for Industry 4.0. London: Springer, 2017. DOI: https://doi.org/10.1007/978-3-319-50660-9

VERGARA, S. Métodos de pesquisa em Administração. São Paulo: Atlas, 2000.

VERMULM, R. Polı́ticas para o desenvolvimento da Indústria 4.0 no Brasil. Instituto de Estudos Para o Desenvolvimento Industrial, n. 1 , p. 1-17, 2020.

VIANNA, F. R. P. M.; GRAEML, A. R; PEINADO, J. The role of crowdsourcing in industry 4.0: a systematic literature review. International Journal of Computer Integrated Manufacturing, v. 33, n. 4, p. 411-427, 2020. DOI: https://doi.org/10.1080/0951192X.2020.1736714

XU, L. D.; DUAN, L. Big data for cyber physical systems in industry 4.0: a survey. Enterprise Information Systems, v. 13, n. 2; p. 148-169, 2019. DOI: https://doi.org/10.1080/17517575.2018.1442934

XU, L. D.; XU, E. L.; LI, L. Industry 4.0: state of the art and future trends. International journal of production research, v. 56, n. 8, p. 2941-2962, 2018. DOI: https://doi.org/10.1080/00207543.2018.1444806

ZHENG, X.; MARTIN, P.; BROHMAN, K.; DA XU, L. Cloud service negotiation in internet of things environment: A mixed approach. IEEE Transactions on Industrial Informatics, v. 10, n. 2, p. 1506-1515, 2014. DOI: https://doi.org/10.1109/TII.2014.2305641

Zhong, R. Y.; Xu, X.; Klotz, E.; Newman, S. T. Intelligent manufacturing in the context of industry 4.0: a review. Engineering, v. 3, n. 5, p. 616-630, 2017. DOI: https://doi.org/10.1016/J.ENG.2017.05.015

ZHU, D.; FENG, X.; XU, X.; YANG, Z.; LI, W.; YAN, S.; DING, H. Robotic grinding of complex components: a step towards efficient and intelligent machining–challenges, solutions, and applications. Robotics and Computer-Integrated Manufacturing, n. 65, 101908, 2020. DOI: https://doi.org/10.1016/j.rcim.2019.101908

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2022-12-19

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Villalba, F. Z., Peinado, J., Vianna, F., & Meneghetti, F. (2022). Industry 4.0: technical qualifications for the fourth industrial revolution in Brazil. Revista Gestão Da Produção Operações E Sistemas, 17(4), 32. https://doi.org/10.15675/gepros.v17i4.2923

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