Preparação dos trabalhadores para a I4.0: Revisão sistemática da literatura
DOI:
https://doi.org/10.5585/exactaep.2022.21905Keywords:
competences, training, Industry 4.0, workers, smart factories, manufacturing engineering, operations managementAbstract
There seems to be a consensus among researchers and professionals working in organizations that industry 4.0 (I4.0) brings with it numerous tools and technologies for which workers are not yet prepared. To succeed in implementing I4.0, managers of organizations know, or at least should know, that workers will need to be prepared to deal with these tools and technologies, otherwise, all the efforts and resources invested may not bring the expected results. Through a systematic review of the literature, this article aims to analyze and discuss the preparation of workers to work with I4.0, so that they can carry out their respective activities efficiently and safely. When answering the question about what should be considered for the development of workers working in I4.0, it was identified that three aspects are taken into account by researchers who carried out work on the topic, which are workers' skills, job profiles and training programs and methods. These three aspects were analyzed in order to provide managers with more information to assist in decision making.
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References
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). Analyzing 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.
Saha, O., & Dasgupta, P. (2018). A comprehensive survey of recent trends in cloud robotics architectures and applications. Robotics, Vol. 7, No. 3, p.47.
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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