Development of managerial and Information Technology skills in Learning Factories in the context of Industry 4.0: a case study

Pedro Antonio de Albuquerque Felizola Romeral, Mauro de Mesquita Spinola, Rodrigo Franco Gonçalves, Eduardo Zancul

Resumo


Purpose – This paper aims to analyze the most relevant and present technologies in Learning Factories, to analyze how these technologies can be integrated and how to analyze how this environment operates given the shortage of a specialist workforce.
Theoretical framework - The new technological landscape, also known as Industry 4.0, requires trained personnel to operate, interpret, and make decisions given the new tools. This means that training the professionals who will work in the industries need to come into contact with all this existing Information Technology (IT) architecture and skills need to be encouraged to be developed to allow these professionals to work effectively. One way to act on these fronts is through Learning Factories, which are integrated environments for Industry 4.0 training and the development of technology, applications, and transfer them to industry. Despite recognizing this strategy, there is no explicit discussion on how IT architecture is built, how these technologies are integrated, and which teaching strategies are effective in Learning Factories.
Design/methodology/approach - A case study was carried out at a Learning Factory in a Brazilian state university, called ‘Fábrica do Futuro’, describing the present IT systems, their relevance in student education and the teaching strategies adopted, compared with the theoretical sample presented.
Findings – A need was identified to explore the integration between all technologies, involving tools, such as 3D printing, radio frequency identification (RFID), Computer Vision and systems such as ERP, MES and PLM. The development of communication, leadership, and problem-solving skills needs to be encouraged for effective learning and adequate operation of these technologies.
Originality/Value - This study aims to contribute to universities and research institutions that wish to implant and/or operationalize a Learning Factory, presenting and discussing a possible IT structure and the skills developed with it.
Keywords - Learning Factory. Industry 4.0. Information Technologies. ERP. 3D printing.

Palavras-chave


Learning Factory. Industry 4.0. Information Technologies. ERP. 3D printing.

Texto completo:

PDF (English)

Referências


ABELE, E; CHRYSSOLOURIS, G.; SIHN, W.; METTERNICH, J.; ELMARAGHY, H.; SELIGER, G.; SIVARD, G.; ELMARAGHY, W.; HUMMEL, V.; TISCH, M.; SEIFERMANN, F. Learning factories for future oriented research and education in manufacturing. CIRP Annals - Manufacturing Technology, v. 66, n. 2, p. 803–826, 2017.

ABELE, E.; METTERNICH, J.; TISCH, M. Learning Factories: Concepts, Guidelines, Best-Practice Examples. Ed. Springer Cham, Switzerland, 2019

ADAMSON, G.; WANG, L.; HOLM, M.; MOORE, P. Cloud manufacturing –a critical review of recent development and future trends. International Journal of Computer Integrated Manufacturing, vol. 30, no. 4-5, pp. 347-380, 2017.

BAENA, F. et al. Learning Factory: The Path to Industry 4.0. Procedia Manufacturing, v. 9, p. 73–80, 2017.

BAHETI, R.; GILL, H. Cyber-Physical Systems. The Impact of Control Technology, V. 12, p. 161-166, 2011.

BEIER, G; ULRICH, A.; NIEHOFF, S.; REIBIG, M.; HABICH, M. Industry 4.0: How it is defined from a sociotechnical perspective and how much sustainability it includes – a literature review. Journal of Cleaner Production. V. 259, p.1-13, 2020.

BRYMAN, A.; BELL, E. Business Research Methods. Oxford University Press, 808p, 2015.

CELASCHI. F. Advanced design-driven approaches for an Industry 4.0 framework: The human-centred dimension of the digital industrial Revolution. Strategic Design Research Journal, v.10 (2), p. 97-104, 2017

EISENHARDT, K. M. Building Theories from Case Study Research. Academy of Management Review, v. 14(4), p. 532–550, 1989

EISENHARDT, K. M.; GRAEBNER, M. E. Theory building from cases: Opportunities and challenges. Academy of Management Journal, 50(1), 25–32, 2007.

FÁBRICA DO FUTURO. Site oficial do laboratório. Disponível em: Acesso em 01/08/2020

FLEURY, M. T. L.; FLEURY, A. C. Construindo o conceito de competência. Revista de Administração Contemporânea, v. 5, n. SPE, p. 183-196, 2001.

FRANK, A. G.; DALENOGARE, L. S.; AYALA, N. F. Industry 4.0 Technologies: implementation patterns in manufacturing companies. International Journal of Production Economics, V. 210, p.15-26, 2019

GEPHART, R. From the editors: Qualitative Research and the Academy of Management Journal. Academy of Management Journal, 47(4), 454-462, 2004.

GUERREIRO, B. V.; LINS, R. G.; SUN, J.; SCHMITT, R. Definition of Smart Retrofitting: First Steps for a Company to Deploy Aspects of Industry 4.0. In: A. Hamrol et al. (eds.). Advances in Manufacturing. Springer International Publishing, p. 161-170, 2019

HERMANN, M.; PENTEK, T.; OTTO, B. Design Principles for Industrie 4.0 Scenarios. 49th Hawaii International Conference on System Sciences, p. 3928-3938, 2016.

KAASINEN, E. et al. Empowering and engaging industrial workers with Operator 4.0 solutions. Computers and Industrial Engineering, v.139, n. January 2019, 2020.

KAGERMANN, H.; WAHLSTER, W.; HELBIG, J. Recommendations for implementing the strategic initiative Industrie 4.0: final report of the Industrie 4.0. Working Group. 82p, 2013.

KAYA, İ.; ERDOGAN, M., KARASAN, A.; OZKAN, B. Creating a road map for industry 4.0 by using an integrated fuzzy multicriteria decision-making methodology. Soft Computing, 2020. https://doi.org/10.1007/s00500-020-05041-0

KONIECZEK, B.; RETHFELDT, M.; GOLATOWSKI, F.; TIMMERMANN, D. A distributed time server for the realtime extension of coap. In: 2016 IEEE 19th international symposium on real-time distributed computing (ISORC), p. 84–91, 2016.

LAMANCUSA, J.S., ZAYAS, J.L., SOYSTER, A.L., MORELL, L., JORGENSEN, J. The Learning Factory: Industry-Partnered Active Learning—2006 Bernard M. Gordon Prize Lecture. Journal of Engineering Education. V. 97(1), P.5–11, 2008

LASI, H.; FETTKE, P.; KEMPER, H. G.; FELD, T.; HOFFMANN, M. Industry 4.0. Business & information systems engineering, v. 6(4), p. 239-242, 2014.

LEE, J.; LAPIRA, E.; YANG, S.; KAO H. Predictive manufacturing system trends of next generation production systems. In: Proceedings of the 11th IFAC workshop on intelligent manufacturing systems, p. 150–156, 2013.

LU, Y. Industry 4.0: A survey on technologies, applications and open research issues. Journal of Industrial Information Integration, v. 6, p. 1–10, 2017.

MCKINSEY & COMPANY. Industry 4.0 after the initial hype Where manufacturers are finding value and how they can best capture it. Disponível em: < https://www.mckinsey.com/~/media/mckinsey/business%20functions/mckinsey%20digital/our%20insights/getting%20the%20most%20out%20of%20industry%204%200/mckinsey_industry_40_2016.ashx> Acesso em 28/08/2020.

MINISTÉRIO DA EDUCAÇÃO E PESQUISA DA ALEMANHA. What is Industry 4.0. 2016. Disponível em: Acesso em: 03/08/2020

NAGY, J., OLÁH, J., ERDEI, E., MÁTÉ, D., & POPP, J. The role and impact of industry 4.0 and the internet of things on the business strategy of the value chain-the case of hungary. Sustainability Switzerland, v. 10(10), p. 1-12, 2020

NAKAYAMA, R. S.; DE MESQUITA SPÍNOLA, M.; SILVA, J. R. Towards I4.0: A comprehensive analysis of evolution from I3.0. Computers and Industrial Engineering, v. 144, n. February 2019, p. 1-15, 2020.

OESTERREICH, T. D.; TEUTEBERG, F. Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry. Computers in Industry, v. 83, p. 121-139, 2016.

PEREIRA, A. C.; ROMERO, F. A review of the meanings and the implications of the Industry 4.0 concept. Procedia Manufacturing, v. 13, p. 1206–1214, 2017.

PICCAROZZI, M.; AQUILANI, B.; GATTI, C. Industry 4.0 in Management Studies: A Systematic Literature Review. Sustainability Journal, vol.10, p. 21-38, 2018.

POSADA, J., TORO, C., BARANDIARAN, I., OYARZUN, D., STRICKER, D., PINTO, E., EISERT, P., DOLLNER, J.; VALLARINO, I. Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet. IEEE Computer Society. Appl., 35(2), pp.26-40, 2015.

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. The Boston Consulting Group. 2015.

SABO, F. Industry 4.0 - a comparison of the status in Europe and the USA. Austrian Maschall Plan Foundation, 33p., 2015.

SACKEY, S. M.; BESTER, A.; ADAMS, D. Industry 4.0 learning factory didactic design parameters for industrial engineering education in South Africa. South African Journal of Industrial Engineering, v. 28, n. 1, p. 114–124, 2017.

SALERNO, M. S. Projeto de organizações integradas e flexíveis: processos, grupos e gestão democrática via espaços de comunicação-negociação. São Paulo: Editora Atlas, 1999.

SANDERS, A.; ELANGESWARAN, C.; WULFSBERG, J. Industry 4.0 implies lean manufacturing: research activities in industry 4.0 function as enablers for lean manufacturing. Journal of Industrial Engineering and Management, v. 9, n. 3, p. 811-833, 2016.

SAUNDERS, M., LEWIS, P.; THORNHILL, A. Research methods for business students. 7. ed., Harlow: Pearson Education, 2016

SCHUH, G. Collaboration moves productivity to the next level. Procedia CIRP 17, p.3-8, 2014.

SCHWAB, K. The Fourth Industrial Revolution. In: Genebra: World Economic Forum, 2016.

SIMA, V.; GHEORGHE, I. G.; SUBIC, J.; NANCU, D. Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review. Sustainability, v. 12, 4035, 2020. https://doi.org/10.3390/su12104035

STOCK, T., OBENAUS, M., KUNZ, S., KOHL, H. Industry 4.0 as enabler for a sustainable development: a qualitative assessment of its ecological and social potential. Process Safety Environmental Protection. v. 118, p. 254–267, 2018

SUNG, T. K. Industry 4.0: A Korea perspective. Technological Forecasting and Social Change, v. 132, p. 40–45, 2018.

TISCH, M. et al. Learning factory design: a competency-oriented approach integrating three design levels. International Journal of Computer Integrated Manufacturing, v. 29, n. 12, p. 1355–1375, 2016.

TORTORELLA, G. L.; FETTERMANN, D. Implementation of industry 4.0 and lean production in brazilian manufacturing companies. International Journal of Production Research, v. 56(8), p. 2975–2987, 2018.

XU, L. Da; 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.

YIN, R. K. Estudo de caso: planejamento e métodos. 5. ed. Porto Alegre: Bookman, 2015.

ZANCUL, E. VIEIRA, H. Machine vision applications in a learning factory. Procedia Manufacturing, v. 45, p. 516–521, 2020.




DOI: https://doi.org/10.15675/gepros.v16i2.2785

Apontamentos

  • Não há apontamentos.




Licença Creative Commons

Está licenciado com uma Licença Creative Commons - Atribuição-NãoComercial 4.0 Internacional

e-ISSN: 1984-2430
GEPROS. Gest. prod. oper. sist., Bauru, São Paulo-SP (Brasil).

Departamento de Engenharia de Produção da Faculdade de Engenharia da UNESP - Bauru

Av. Eng. Edmundo Carrijo Coube, n° 14-01 Fone: 55-14-3103-6122