Abstract
Industry 4.0 is promoting changes in the labour market through the need for digitalization. As a result, new skills, new job profiles and training programs need to follow this transformation, as these technological trends are affecting the work profiles and skills required by the workforce for Industry 4.0. To develop the workforce of the future, specifically soft skills for industry 4.0, it is necessary to have innovative teaching methodologies for workforce training, which encourages the development of specific soft skills for industry 4.0 of the workforce. With this in mind, this work aims to evaluate the development of soft skills through the Educational Testbed 4.0 teaching methodology in bachelor students at a Brazilian university. The proposed model was illustrated that the development of teamwork, communication and creativity were developed, improved and enhanced from the training program, provided from course inserted in the university program. In addition to checking important issues for the students who attended the course, including teamwork, contact with the labour market, real problem solving, among other issues encoded using Software QSR Nvivo® version 10, 90% to 95% of the respondents agreed that teamwork and communication were the soft skills most developed and used during the course or training program.
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References
Matt, D.T., Orzes, G., Rauch, E., Dallasega, P.: Urban production–a socially sustainable factory concept to overcome shortcomings of qualified workers in smart SMEs. Comput. Ind. Eng. 139, 105384 (2020)
Liao, Y., Deschamps, F., Loures, E.F.R., Ramos, L.F.P.: Past, present and future of Industry 4.0-a systematic literature review and research agenda proposal. Int. J. Prod. Res. 55(12), 3609–3629 (2017)
Fareri, S., Fantoni, G., Chiarello, F., Coli, E., Binda, A.: Estimating Industry 4.0 impact on job profiles and skills using text mining. Comput. Ind. 118, 103222 (2020)
Sony, M., Naik, S. Industry 4.0 integration with socio-technical systems theory: a systematic review and proposed theoretical model. Technology in Society, 101248 (2020)
Sung, T.K.: Industry 4.0: a Korea perspective. Technol. Forecasting Soc. Change 132, 40–45 (2018)
Roblek, V., Meško, M., Krapež, A.: A complex view of industry 4.0. Sage Open 6(2), 2158244016653987 (2016)
Ramzi, N., Ahmad, H., Zakaria, N.: A conceptual model on people approach and smart manufacturing. Int. J. Supply Chain Manage. 8(4), 1102–1107 (2019)
Caputo, F., Cillo, V., Candelo, E. Liu, Y.: Innovating through digital revolution. The role of Soft Skills and Big Data in increasing firm performance. Management Decision (2019)
Cagliano, R., Canterino, F., Longoni, A., Bartezzaghi, E.: The interplay between smart manufacturing technologies and work organization. Int. J. Oper. Prod. Manage. (2019)
Jerman, A., Pejić Bach, M., Aleksić, A.: Transformation towards smart factory system: examining new job profiles and competencies. Syst. Res. Behav. Sci. 37(2), 388–402 (2020)
Lanza, G., Haefner, B., Kraemer, A.: Optimization of selective assembly and adaptive manufacturing by means of cyber-physical system based matching. CIRP Ann. 64(1), 399–402 (2015)
Robles, M.M.: Executive perceptions of the top 10 soft skills needed in today’s workplace. Bus. Commun. Q. 75(4), 453–465 (2012)
Cotet, G.B., Balgiu, B.A., Zaleschi, V.: Assessment procedure for the soft skills requested by Industry 4.0. In: MATEC Web of Conferences, p. 07005. EDP Sciences (2017)
Motyl, B., Baronio, G., Uberti, S., Speranza, D., Filippi, S.: How will change the future engineers’ skills in the Industry 4.0 framework? a questionnaire survey. Procedia Manuf. 11, 1501–1509 (2017)
Mourtzis, D., Vasilakopoulos, A., Zervas, E., Boli, N.: Manufacturing system design using simulation in metal industry towards education 4.0. Procedia Manuf. 31, 155–161 (2019)
Yoshino, R.T., Pinto, M.M.A., Pontes, J., Treinta, F.T., Justo, J.F., Santos, M.M.D.: Educational Test Bed 4.0: a teaching tool for Industry 4.0. Europ. J. Eng. Educ. 45(6), 1–22 (2020)
Miguel, P.A.C.: and others: Metodologia de pesquisa em engenharia de produção e gestão de operações, 2nd edn. Elzevir, Rio de Janeiro (2010)
Barreto, B.P., Pontes, J., Treinta, F.T.: A Educaçção 4.0 aplicada a Engenharia de Produção e as principais tematicas de pesquisa: uma analise de conteudo a partir da revisção de literatura. In: XXXIX Encontro Nacional de Engenharia de Produção, pp. 1–14. ABEPRO (2019)
Penhaki, J.R.: Soft Skills na Indústria 4.0. Universidade Tecnológica Federal do Paraná (2019)
Silva, L.B.P., Pontes, J., Resende, L.M.M., Yoshino, R.T.: Analysis of the main categories of skill oriented to the context of the Industry 4.0. In: 3rd International Symposium on Supply Chain 4.0: Challenges and Opportunities of Digital Transformation, Intelligent Manufacturing and Supply Chain Management 4.0, pp. 14–21. Indianapolis (2019)
Maisiri, W., Darwish, H., Van Dyk, L.: An investigation of Industry 4.0 skills requirements. South African J. Ind. Eng. 30(3), 90–105 (2019)
Deloitte, Preparing tomorrow’s workforce for the Fourth Industrial Revolution. https://www2.deloitte.com/global/en/pages/about-deloitte/articles/gx-preparing-tomorrow-workforce-for-the-fourth-industrial-revolution.html. Accessed 4 Mar 2021
Marjan Laal, M.D., Peyman Salamati, M.D.: Lifelong learning; why do we need it? Marjan Laal. Procedia Soc. Behav. Sci. 31, 399403 (2012). https://doi.org/10.1016/j.sbspro.2011.12.073
Ninan, N., Roy, J.C., Thomas, M.R.: Training the workforce for industry 4.0. Int. J. Res. Soc. Sci. 9, 782790 (2019). https://doi.org/10.1016/j.sbspro.2011.12.073
Bacsich, P.D.: Business models for opening up education. https://www.dtransform.eu/wp-content/uploads/2016/04/O1-A2Business-models-edition-1-final.pdf. Accessed 4 Mar 2021
Lantada, A.D.: Engineering Education 5.0: continuously evolving engineering education. Int. J. Eng. Educ. 36(6), 1814–1832 (2020)
Mourtzis, D., Vlachou, E., Dimitrakopoulos, G., Zogopoulos, V.: Manufacturing system design using simulation in metal industry towards education 4.0. Procedia Manuf. 31, 155–161 (2019)
Acknowledgements
This research has been supported by CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil) – Finance Code N\(^{\circ }\) 001 and ABDI (Agência Brasileira de Desenvolvimento Industrial).
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da Silva, L.B.P., Barreto, B.P., Pontes, J., Treinta, F.T., de Resende, L.M.M., Yoshino, R.T. (2021). Evaluation of Soft Skills Through Educational Testbed 4.0. In: Pereira, A.I., et al. Optimization, Learning Algorithms and Applications. OL2A 2021. Communications in Computer and Information Science, vol 1488. Springer, Cham. https://doi.org/10.1007/978-3-030-91885-9_51
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