PREPARAÇÃO DOS TRABALHADORES PARA A I4.0: REVISÃO SISTEMÁTICA DA LITERATURA

Autores

DOI:

https://doi.org/10.5585/exactaep.2022.21905

Palavras-chave:

Competências, Treinamentos, Industria 4.0, Trabalhadores, Fábricas inteligentes, Engenharia de manufatura, Gestão das operações.

Resumo

Parece ser consenso entre pesquisadores e profissionais que atuam nas organizações que a indústria 4.0 (I4.0) traz consigo inúmeras ferramentas e tecnologias para as quais os trabalhadores ainda não estão preparados. Para obterem sucesso na implantação da I4.0, os gestores das organizações sabem, ou pelo menos deveriam saber, que os trabalhadores precisarão ser preparados para lidarem com estas ferramentas e tecnologias, caso contrário, todos os esforços e recursos investidos, poderão não trazer os resultados esperados. Por meio de uma revisão sistemática da literatura, este artigo tem o objetivo de analisar e discutir sobre a preparação dos trabalhadores para aturarem na I4.0, para que assim possam exercer suas respectivas atividades com eficiência e segurança. Ao responder à questão sobre o que deve ser considerado para o desenvolvimento dos trabalhadores atuarem na I4.0, identificou-se que três aspectos são levados em consideração pelos pesquisadores que realizaram trabalhos sobre tema, que são as competências dos trabalhadores, os perfis dos cargos e os programas e métodos de treinamento. Estes três aspectos foram analisados visando oferecer aos gestores mais informações para auxiliar na tomada de decisão.     

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Biografia do Autor

Julio Cesar Melo, UNIVERSIDADE ESTADUAL PAULISTA (UNESP), FACULDADE DE ENGENHARIA, BAURU

He hold’s MSc degree in Production Engineering at São Paulo State University (UNESP), School of Engineering and is a PhD candidate at the São Paulo State University (UNESP), School of Engineering. Since 2019, he has been lecturing in Production Engineering, Mechanical Engineering and Electrical Engineering courses. He has experience in Production Engineering and Business Administration, with emphasis on Production Planning and Control, Logistics, Supply Chain Management, Production and Operations Management, Lean Manufacturing and Human Resources Management.

Isidoro Rays Filho, UNIVERSIDADE ESTADUAL PAULISTA (UNESP), FACULDADE DE ENGENHARIA, BAURU

Isidoro é graduado em Engenharia de Produção e candidato a mestre em Engenharia de Produção pela UNESP, Faculdade de Engenharia de Bauru.

Bruno Fonseca Guerra, UNIVERSIDADE ESTADUAL PAULISTA (UNESP), FACULDADE DE ENGENHARIA, BAURU

Bruno é graduado em Engenharia de Produção e candidato a mestre em Engenharia de Produção pela UNESP, Faculdade de Engenharia de Bauru.

Jorge Muniz Junior, UNIVERSIDADE ESTADUAL PAULISTA (UNESP), FACULDADE DE ENGENHARIA, GUARATINGUETÁ

Associate Professor in the Universidade Estadual Paulista (UNESP), Sao Paulo, Brazil, Coordinator of Executive Master in Production Engineering (MePEP/UNESP), Associate Editor of Production Journal. Doctorate in Operation Management (UNESP) awarded by Production Engineering Brazilian Association (ABEPRO), and M.S. with Honor (Operation Management) at Universidade de Sao Paulo (USP). He used to be FORD?s executive responsible for integrating lean thinking and quality system. He researches Social Systems and Future Manufacturing (Industry 4.0) and Knowledge Management in Production Systems.

Referências

Ada, N., Ilic, D., & Sagnak, M. (2021) A Framework for New Workforce Skills in the Era of Industry 4.0. International Journal of Mathematical, Engineering and Management Sciences Vol. 6, No. 3, pp.771-786

Ansari, F. (2019). Knowledge management 4.0: theoretical and practical considerations in cyber physical production systems. IFAC-PapersOnLine, Vol. 52, No. 13, 1597-1602.

Ardito, L., Petruzzelli, A. M., Panniello, U., & Garavelli, A. C. (2018). Towards Industry 4.0: Mapping digital technologies for supply chain management-marketing integration. Business Process Management Journal, Vol. 25, No. 2, pp.323-346.

Bag, S., Pretorius, J. H. C., Gupta, S., & Dwivedi, Y. K. (2021). Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities. Technological Forecasting and Social

Change, Vol. 163, No. 2021, 120420.

Bauer, H., Brandl, F., Lock, C., & Reinhart, G. (2018). Integration of Industrie 4.0 in lean manufacturing learning factories. Procedia manufacturing, Vol. 23, No. 2018, pp.147-152.

Belinski, R., Peixe, A. M., Frederico, G. F., & Garza-Reyes, J. A. (2020). Organizational learning and Industry 4.0: findings from a systematic literature review and research agenda. Benchmarking: An International Journal, Vol. 27 No. 8, pp.2435-2457

Brant, A., & Sundaram, M. M. (2015). A novel system for cloud-based micro additive manufacturing of metal structures. Journal of Manufacturing processes, Vol. 20, pp.478-484.

Chryssolouris, G., Mavrikios, D., & Mourtzis, D. (2013). Manufacturing systems: skills & competencies for the future. Procedia CIRp, Vol. 7, pp.17-24.

Cirillo, V., Rinaldini, M., Staccioli, J., & Virgillito, M. E. (2021). Technology vs. workers: the case of Italy’s Industry 4.0 factories. Structural Change and Economic Dynamics, Vol. 56, pp.166-183.

Cotet, G. B., Balgiu, B. A., & Zaleschi, V. C. (2017). Assessment procedure for the soft skills requested by Industry 4.0. In MATEC web of conferences, EDP Sciences, Vol. 121, NO. 8, p.07005.

Dobrowolska, M., & Knop, L. (2020). Fit to Work in the Business Models of the Industry 4.0 Age. Sustainability, Vol. 12, No. 12, pp.4854-4872.

Dujin, A., Geissler, C., & Horstkötter, D. (2014). Think Act Industry 4.0. The new industrial revolution: How Europe will succeed. Ronald Berger Strategy Consultants GmbH: Munich, 24p.

Eilström, P. E., & Kock, H. (2008). Competence development in the workplace: concepts, strategies and effects. Asia pacific education review, Vol. 9, No. 1, pp.5-20.

Elhoone, H., Zhang, T., Anwar, M., & Desai, S. (2020). Cyber-based design for additive manufacturing using artificial neural networks for Industry 4.0. International Journal of Production Research, Vol. 58, No. 9, pp.2841-2861.

Enke, J., Glass, R., Kreß, A., Hambach, J., Tisch, M., & Metternich, J. (2018). Industrie 4.0–Competencies for a modern production system: A curriculum for Learning Factories. Procedia manufacturing, Vol. 23, pp.267-272.

Evans, P. (2019). Making an HRD domain: identity work in an online professional community. Human resource development international, Vol. 22, No. 2, pp.116-139.

Fareri, S., Fantoni, G., Chiarello, F., Coli, E., & Binda, A. (2020). Estimating Industry 4.0 impact on job profiles and skills using text mining. Computers in industry, Vol. 118, p.103222.

Flores, E., Xu, X., & Lu, Y. (2020). Human Capital 4.0: a workforce competence typology for Industry 4.0. Journal of Manufacturing Technology Management, Vol. 31, No. 4, pp. 687-703.

Gorecky, D., Khamis, M., & Mura, K. (2017). Introduction and establishment of virtual training in the factory of the future. International Journal of Computer Integrated Manufacturing, Vol. 30, No. 1, pp.182-190.

Grzybowska, K., & Łupicka, A. (2017). Key competencies for Industry 4.0. Economics & Management Innovations, Vol. 1, No. 1, pp.250-253.

Gualtieri, L., Rauch, E., & Vidoni, R. (2021). Emerging research fields in safety and ergonomics in industrial collaborative robotics: A systematic literature review. Robotics and Computer-Integrated Manufacturing, Vol. 67, p.101998.

Hernandez-de-Menendez, M., Morales-Menendez, R., Escobar, C. A., & McGovern, M. (2020). Competencies for Industry 4.0. International Journal on Interactive Design and Manufacturing (IJIDeM), Vol. 14, No. 4, pp.1511-1524.

Hirsch-Kreinsen, H. (2016). Digitization of industrial work: development paths and prospects. Journal for Labour Market Research, Vol. 49, No. 1, pp.1-14.

Hulla, M., Hammer, M., Karre, H., & Ramsauer, C. (2019). A case study based digitalization training for learning factories. Procedia manufacturing, Vol. 31, pp.169-174.

Jerman, A., Bertoncelj, A., Dominici, G., Bach, M. P., & Trnavčević, A. (2020). Conceptual key competency model for smart factories in production processes. Organizacija, Vol. 53, No. 1, pp.68-79.

Jerman, A., Pejić Bach, M., & Aleksić, A. (2020). Transformation towards smart factory system: Examining new job profiles and competencies. Systems Research and Behavioral Science, Vol. 37, No. 2, pp.388-402.

Kaasinen, E., Schmalfuß, F., Özturk, C., Aromaa, S., Boubekeur, M., Heilala, J., ... & Walter, T. (2020). Empowering and engaging industrial workers with Operator 4.0 solutions. Computers & Industrial Engineering, Vol. 139, 105678.

Kagermann, H., Wahlster, W., & Helbig, J. (2013). Securing the future of German manufacturing industry: Recommendations for implementing the strategic initiative INDUSTRIE 4.0. Final report of the Industrie 4.0. Acatech. National Academy of Science and Technology, Germany, Vol. 4, No. 0.

Kazancoglu, Y., & Ozkan-Ozen, Y. D. (2018). 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, Vol. 31 No. 6, pp. 891-907.

Kipper, L. M., Iepsen, S., Dal Forno, A. J., Frozza, R., Furstenau, L., Agnes, J., & Cossul, D. (2021). Scientific mapping to identify competencies required by industry 4.0. Technology in Society, Vol. 64, p.101454.

Lange, G., & Lin, F. (2014, December). Modeling well scheduling as a virtual enterprise with intelligent agents. In 2014 IEEE 17th International Conference on Computational Science and Engineering (pp.89-96). IEEE.

Le Deist, F. D., & Winterton, J. (2005). What is competence? Human resource development international, Vol. 8, No. 1, pp.27-46.

López, H. A., Ponce, P., Molina, A., Ramírez-Montoya, M. S., & Lopez-Caudana, E. (2021). Design framework based on TEC21 educational model and Education 4.0 implemented in a Capstone Project: A case study of an electric vehicle suspension system. Sustainability, Vol. 13, No. 11, p.5768.

Mahale, R. S., Vasanth, S., Krishna, H., & Peramenahalli, S. (2021). Sensor-Based Additive Manufacturing Technologies. Biointerface Research in Applied Chemistry. Vol. 12, No. 3, pp.3513-3521

Maisiri, W., Darwish, H., & Van Dyk, L. (2019). An investigation of Industry 4.0 skills requirements. South African Journal of Industrial Engineering, Vol. 30, No. 3, pp.90-105.

Maisiri, W., & van Dyk, L. (2021). Industry 4.0 skills: A perspective of the South African manufacturing industry. SA Journal of Human Resource Management, Vol. 19, pp.1416-1425.

McClelland, D. C. (1973). Testing for competence rather than for" intelligence.". American psychologist, Vol. 28, No. 1, pp.1-14.

Miorandi, D., Sicari, S., De Pellegrini, F., & Chlamtac, I. (2012). Internet of things: Vision, applications and research challenges. Ad hoc networks, Vol. 10, No. 7, pp.1497-1516.

Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., Altman, D., Antes, G., ... & Tugwell, P. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (Chinese edition). Journal of Chinese Integrative Medicine, Vol. 7, No. 9, pp.889-896.

Muniz Jr, J., Wintersberger, D., & Hong, J. L. (2021) Worker and manager judgments about factors that facilitate knowledge‐sharing: Insights from a Brazilian automotive assembly line. Knowledge and Process Management. pp.1-15.

Nakano, D., & Muniz, J. (2018). Writing the literature review for empirical papers. Production, Vol. 28.

Nardo, M., Forino, D., & Murino, T. (2020). The evolution of man–machine interaction: The role of human in Industry 4.0 paradigm. Production & Manufacturing Research, Vol. 8, No. 1, pp.20-34.

Ozkan-Ozen, Y. D., & Kazancoglu, Y. (2021). Analysing workforce development challenges in the Industry 4.0. International Journal of Manpower. Vol. 42, No. 3.

Paelke, V. (2014, September). Augmented reality in the smart factory: Supporting workers in an industry 4.0. environment. In Proceedings of the 2014 IEEE emerging technology and factory automation (ETFA) (pp. 1-4). IEEE.

Pardi, T. (2019). Fourth industrial revolution concepts in the automotive sector: performativity, work and employment. Journal of Industrial and Business Economics, Vol. 46, No. 3, pp.379-389.

Paszkiewicz, A., Salach, M., Dymora, P., Bolanowski, M., Budzik, G., & Kubiak, P. (2021). Methodology of Implementing Virtual Reality in Education for Industry 4.0. Sustainability, Vol. 13, No. 9, p.5049.

Pfeiffer, S. (2016). Robots, Industry 4.0 and humans, or why assembly work is more than routine work. Societies, Vol. 6, No. 2, pp.1-26.

Prifti, L.; Knigge, M.; Kienegger, H.; Krcmar, H. (2017): A Competency Model for "Industrie 4.0" Employees, in Leimeister, J.M.; Brenner, W. (Hrsg.): Proceedings der 13. Internationalen Tagung Wirtschaftsinformatik (WI 2017), St. Gallen, S. 46-60

Puriwat, W., & Tripopsakul, S. (2020). Preparing for Industry 4.0--Will Youths Have Enough Essential Skills?: An Evidence from Thailand. International Journal of Instruction, Vol. 13, No. 3, pp.89-104.

Sadeghi, A. R., Wachsmann, C., & Waidner, M. (2015, June). Security and privacy challenges in industrial internet of things. In 2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC) (pp. 1-6). IEEE.

Salvatore, M., & Stefano, R. (2021). Smart operators: How Industry 4.0 is affecting the worker’s performance in manufacturing contexts. Procedia Computer Science, Vol. 180, pp.958-967.

Santos, P. F. D., & Simon, A. T. (2018). Uma avaliação sobre as competências e habilidades do engenheiro de produção no ambiente industrial. Gestão & Produção, Vol. 25, pp.233-250.

Schallock, B., Rybski, C., Jochem, R., & Kohl, H. (2018). Learning Factory for Industry 4.0 to provide future skills beyond technical training. Procedia manufacturing, Vol. 23, pp.27-32.

Shao, G., Shin, S. J., & Jain, S. (2014, December). Data analytics using simulation for smart manufacturing. In Proceedings of the Winter Simulation Conference 2014 (pp. 2192-2203). IEEE.

Škrinjarić, B., & Domadenik, P. (2019). Examining the role of key competences in firm performance. International Journal of Manpower. Vol. 41, No. 4, pp. 391-416.

Spencer, L. M., & Spencer, P. S. M. (2008). Competence at Work models for superior performance. John Wiley & Sons. New York, NY.

Spoettl, G. (2020). AUTO 4.0: Anticipation of Skills for Employees Due to Digitalization–Identification of “Occupational Profiles”. Industry, Vol. 4, pp.69-82.

Spöttl, G., & Windelband, L. (2021). The 4th industrial revolution–its impact on vocational skills. Journal of Education and Work, Vol. 34, No. 1, pp.29-52.

Ulmeanu, M., Doicin, C., Roșca, L., Rennie, A., Abram, T., & Bajdor, P. (2019). TecHUB 4.0-Technology and entrepreneurship education for bridging the gap in smart product development. MATEC Web of Conferences. EDP Sciences, ROM.

Vassiliadis, M., & Hilpert, Y. M. (2020). Labor-based Innovation: The Advantage of Skills and Education. UCJC Business & Society Review, Vol. 17, No. 1, pp.66-83.

Yen, C. T., Liu, Y. C., Lin, C. C., Kao, C. C., Wang, W. B., & Hsu, Y. R. (2014). Advanced manufacturing solution to industry 4.0 trend through sensing network and cloud computing technologies. In 2014 IEEE International Conference on Automation Science and Engineering (CASE) (pp. 1150-1152). IEEE.

Zhong, R. Y., Xu, X., Klotz, E., & Newman, S. T. (2017). Intelligent manufacturing in the context of industry 4.0: a review. Engineering, Vol. 3, No. 5, pp.616-630.

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Publicado

13.10.2022

Como Citar

Melo, J. C., Filho, I. R., Guerra, B. F., & Junior, J. M. (2022). PREPARAÇÃO DOS TRABALHADORES PARA A I4.0: REVISÃO SISTEMÁTICA DA LITERATURA. Exacta. https://doi.org/10.5585/exactaep.2022.21905

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