Production
https://prod.org.br/article/doi/10.1590/0103-6513.20220076
Production
Thematic Section - Production Engineering leading the Digital Transformation

Digital transformation in Brazilian industry: bridging theory and practice

Luciana Stradioto; Enzo Morosini Frazzon

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Abstract

Paper aims: This paper aims to evaluate the digitalization scenario of Brazilian industry, as well as to propose a practical approach to its digital transformation.

Originality: No comparison is available that aims to understand the differences and gaps between theoretical research and the reality of digital transformation in Brazilian industries.

Research method: Based on three steps, namely: review and bibliographic analysis to identify the main aspects of digital transformation; content analysis of national reports to define the state of practice; comparison between the results of theory and practice.

Main findings: The results demonstrate an alignment between the aspects found in the scientific literature and the reports analyzed. The pillars of digital transformation are widely discussed in industrial reality. However, implementation gaps (and related opportunities) difficult the digital transformation of the Brazilian industry.

Implications for theory and practice: This paper introduces a proposition that unites theoretical aspects in a model that may be applied to enable digital transformation in the industry.

Keywords

Digital transformation, Brazilian industry, Industry 4.0, Digitalization

References

Agostino, Í. R. S., Broda, E., Frazzon, E. M., & Freitag, M. (2020). Using a digital twin for production planning and control in industry 4.0. In B. Sokolov, D. Ivanov & A. Dolgui (Eds.), Scheduling in industry 4.0 and cloud manufacturing (pp. 39-60). Cham: Springer. http://dx.doi.org/10.1007/978-3-030-43177-8_3.

Associação Brasileira da Indústria de Máquinas e Equipamentos – ABIMAQ. (2021). Indústria 4.0: transformação digital e inovação de modelos de negócio na indústria de máquinas e equipamentos. São Paulo: ABIMAQ.

Bader, S., Barth, T., Krohn, P., Ruchser, R., Storch, L., Wagner, L., Findeisen, S., Pokorni, B., Braun, A., Ohlhausen, P., & Palm, D. (2019). Agile shopfloor organization design for industry 4.0 manufacturing. Procedia Manufacturing, 39, 756-764. http://dx.doi.org/10.1016/j.promfg.2020.01.434.

Baurina, S. B. (2020, October 6-9). Smart industry: technology for the future. In C. A. Bekker (Ed.), 2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) (pp. 1-4). New York, United States of America: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/FarEastCon50210.2020.9271398

Brasil, Ministério da Ciência, Tecnologia, Inovações e Comunicações. (2018). Estratégia brasileira para a transformação digital. Brasília: Ministério da Ciência, Tecnologia, Inovações e Comunicações. Retrieved in 2022, July 13, from https://www.gov.br/mcti/pt-br/centrais-de-conteudo/comunicados-mcti/estrategia-digital-brasileira/estrategiadigital.pdf

Butt, J. (2020). A conceptual framework to support digital transformation in manufacturing using an integrated business process management approach. Designs, 4(3), 17. http://dx.doi.org/10.3390/designs4030017.

Büyüközkan, G., & Güler, M. (2020). Analysis of companies’ digital maturity by hesitant fuzzy linguistic MCDM methods. Journal of Intelligent & Fuzzy Systems, 38(1), 1119-1132. http://dx.doi.org/10.3233/JIFS-179473.

Cachada, A., Barbosa, J., Leitao, P., Alves, A., Alves, L., Teixeira, J., & Teixeira, C. (2019, May 6-9). Using internet of things technologies for an efficient data collection in maintenance 4.0. In H. Y. Lin, J. J. Rodríguez-Andina & K.-S. Hwang (Eds.), 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS) (pp. 113-118). New York, United States of America: Institute of Electrical and Electronics Engineers. http://dx.doi.org/10.1109/ICPHYS.2019.8780217.

Calà, A. L. A., Luder, A., Boschi, F., Tavola, G., & Taisch, M. (2018, May 15-18). Migration towards digital manufacturing automation - an assessment approach. In A. A. N. Melendez & S. Shavetov (Orgs.), 2018 IEEE Industrial Cyber-Physical Systems (ICPS) (pp. 714-719). New York, United States of America: Institute of Electrical and Electronics Engineers. http://dx.doi.org/10.1109/ICPHYS.2018.8390795.

Calabrese, A., Dora, M., Ghiron, N. L., & Tiburzi, L. (2022). Industry’s 4.0 transformation process: how to start, where to aim, what to be aware of. Production Planning and Control: The Management of Operations, 33(5), 492-512. http://dx.doi.org/10.1080/09537287.2020.1830315.

Carolis, A., Macchi, M., Negri, E., & Terzi, S. (2017, June 27-29). Guiding manufacturing companies towards digitalization. In R. Jardim-Gonçalves, J. P. Mendonça, M. Pallot, A. Zarli, J. Martins & M. Marques (Eds.), 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC) (pp. 487-495). New York, United States of America: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICE.2017.8279925.

Confederação Nacional da Indústria, CNI. (2016). Indústria 4.0: novo desafio para a indústria brasileira. Brasília: Confederação Nacional da Indústria. Retrieved in 2022, July 13, from http://www.portaldaindustria.com.br/estatisticas/sondesp-66-industria-4-0/

Espíndola, D., Frazzon, E. M., Hellingrath, B., & Pereira, C. E. (2012). Integrating intelligent maintenance systems and spare parts supply chains. IFAC Proceedings Volumes, 45(6), 1017-1022. http://dx.doi.org/10.3182/20120523-3-RO-2023.00384.

Fang, I. C., Chen, P. T., Chiu, H. H., Lin, C. L., & Su, F. C. (2020). Establishing the digital transformation strategies for the med-tech enterprises based on the AIA-NRM approach. Applied Sciences, 10(21), 7574. http://dx.doi.org/10.3390/app10217574.

Frazzon, E. M., Agostino, Í. R. S., Broda, E., & Freitag, M. (2020). Manufacturing networks in the era of digital production and operations: a socio-cyber-physical perspective. Annual Reviews in Control, 49, 288-294. http://dx.doi.org/10.1016/j.arcontrol.2020.04.008.

Gamache, S., Abdul-Nour, G., & Baril, C. (2019). Development of a digital performance assessment model for Quebec manufacturing SMEs. Procedia Manufacturing, 38, 1085-1094. http://dx.doi.org/10.1016/j.promfg.2020.01.196.

Ghobakhloo, M. (2018). The future of manufacturing industry: a strategic roadmap toward Industry 4.0. Journal of Manufacturing Technology Management, 29(6), 910-936. http://dx.doi.org/10.1108/JMTM-02-2018-0057.

Ghobakhloo, M., & Ching, N. T. (2019). Adoption of digital technologies of smart manufacturing in SMEs. Journal of Industrial Information Integration, 16, 100107. http://dx.doi.org/10.1016/j.jii.2019.100107.

Ghobakhloo, M., & Fathi, M. (2020). Corporate survival in industry 4.0 era: the enabling role of lean-digitized manufacturing. Journal of Manufacturing Technology Management, 31(1), 1-30. http://dx.doi.org/10.1108/JMTM-11-2018-0417.

Hausberg, J. P., Liere-Netheler, K., Packmohr, S., Pakura, S., & Vogelsang, K. (2019). Research streams on digital transformation from a holistic business perspective: a systematic literature review and citation network analysis. Journal of Business Economics, 89(8-9), 931-963. http://dx.doi.org/10.1007/s11573-019-00956-z.

Havle, C. A., & Üçler, C. (2018, October 19-21). Enablers for industry 4.0. In Institute of Electrical and Electronics Engineers (Org.), 2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (pp. 1-6). New York, United States of America: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ISMSIT.2018.8567293.

Isasi, N. K. G., Frazzon, E. M., & Uriona, M. (2015). Big data and business analytics in the supply chain: a review of the literature. IEEE Latin America Transactions, 13(10), 3382-3391. http://dx.doi.org/10.1109/TLA.2015.7387245.

Krippendorff, K. (2018). Content analysis: an introduction to its methodology. Los Angeles: SAGE Publications. Retrieved in 2022, July 13, from https://books.google.com.br/books?id=FixGDwAAQBAJ

Ku, C. C., Chien, C. F., & Ma, K. T. (2020). Digital transformation to empower smart production for industry 3.5 and an empirical study for textile dyeing. Computers & Industrial Engineering, 142, 106297. http://dx.doi.org/10.1016/j.cie.2020.106297.

Liao, Y., Loures, E. R., Deschamps, F., Brezinski, G., & Venâncio, A. (2018). The impact of the fourth industrial revolution: a cross-country/region comparison. Production, 28, e20180061. http://dx.doi.org/10.1590/0103-6513.20180061.

Lin, T. C., Wang, K. J., & Sheng, M. L. (2020). To assess smart manufacturing readiness by maturity model: a case study on Taiwan enterprises. International Journal of Computer Integrated Manufacturing, 33(1), 102-115. http://dx.doi.org/10.1080/0951192X.2019.1699255.

Lipsmeier, A., Kühn, A., Joppen, R., & Dumitrescu, R. (2020). Process for the development of a digital strategy. Procedia CIRP, 88, 173-178. http://dx.doi.org/10.1016/j.procir.2020.05.031.

Lola, I. S., & Bakeev, M. (2020). Pilot study of industry 4.0 and digital technology prevalence in Russian manufacturing companies. Management and Production Engineering Review, 11(3), 26-37. http://dx.doi.org/10.24425/mper.2020.134929.

Martins, H., Dias, Y., Castilho, P., & Leite, D. (2019). Transformações digitais no Brasil: insights sobre o nível de maturidade digital das empresas no país. São Paulo: McKinsey & Company.

Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2010). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. International Journal of Surgery, 8(5), 336-341. http://dx.doi.org/10.1016/j.ijsu.2010.02.007. PMid:20171303.

Organization for Economic Cooperation and Development, OECD. (2020). A caminho da era digital no Brasil. Paris: OECD. https://doi.org/10.1787/45a84b29-pt.

Pflaum, A. A., & Gölzer, P. (2018). The IoT and digital transformation: toward the data-driven enterprise. IEEE Pervasive Computing, 17(1), 87-91. http://dx.doi.org/10.1109/MPRV.2018.011591066.

Pires, F., Barbosa, J., & Leitão, P. (2018, June 13-15). Quo vadis industry 4.0: an overview based on scientific publications analytics. In TEMS-ISIE Organization Committees (Org.), 2018 IEEE 27th International Symposium on Industrial Electronics (ISIE) (pp. 663-668). New York, United States of America: Institute of Electrical and Electronics Engineers. http://dx.doi.org/10.1109/ISIE.2018.8433868.

Rachinger, M., Rauter, R., Müller, C., Vorraber, W., & Schirgi, E. (2019). Digitalization and its influence on business model innovation. Journal of Manufacturing Technology Management, 30(8), 1143-1160. http://dx.doi.org/10.1108/JMTM-01-2018-0020.

Reis, J., Amorim, M., Melão, N., & Matos, P. (2018). Digital transformation: a literature review and guidelines for future research. Advances in Intelligent Systems and Computing, 745, 411-421. http://dx.doi.org/10.1007/978-3-319-77703-0_41.

Schumacher, A., Nemeth, T., & Sihn, W. (2019). Roadmapping towards industrial digitalization based on an industry 4.0 maturity model for manufacturing enterprises. Procedia CIRP, 79, 409-414. http://dx.doi.org/10.1016/j.procir.2019.02.110.

Sjödin, D. R., Parida, V., Leksell, M., & Petrovic, A. (2018). Smart factory implementation and process innovation: a preliminary maturity model for leveraging digitalization in manufacturing moving to smart factories presents specific challenges that can be addressed through a structured approach focused on people, processes, and technologies. Research Technology Management, 61(5), 22-31. http://dx.doi.org/10.1080/08956308.2018.1471277.

Snyder, H. (2019). Literature review as a research methodology: an overview and guidelines. Journal of Business Research, 104, 333-339. http://dx.doi.org/10.1016/j.jbusres.2019.07.039.

Sundberg, L., Gidlund, K. L., & Olsson, L. (2019, December 15-18). Towards industry 4.0 digital maturity of the manufacturing industry in a Swedish region. In K. H. Chai & Z. Yang (Orgs.), 2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 731-735). New York, United States of America: Institute of Electrical and Electronics Engineers. http://dx.doi.org/10.1109/IEEM44572.2019.8978681.

Török, L. (2020). Industry 4.0 from a few aspects, in particular in respect of the decision making of the management/will the new industrial revolution change the traditional management functions? International Review of Applied Sciences and Engineering, 11(2), 140-146. http://dx.doi.org/10.1556/1848.2020.20020.

Tschandl, M., Mayer, B., & Sorko, S. R. (2020). An interdisciplinary digital learning and research factory: the smart production lab. Procedia Manufacturing, 45, 491-496. http://dx.doi.org/10.1016/j.promfg.2020.04.061.

Türkeș, M. C., Oncioiu, I., Aslam, H. D., Marin-Pantelescu, A., Topor, D. I., & Căpușneanu, S. (2019). Drivers and barriers in using industry 4.0: a perspective of SMEs in Romania. Processes, 7(3), 153. http://dx.doi.org/10.3390/pr7030153.

Uhlmann, I. R., & Frazzon, E. M. (2018). Production rescheduling review: opportunities for industrial integration and practical applications. Journal of Manufacturing Systems, 49, 186-193. http://dx.doi.org/10.1016/j.jmsy.2018.10.004.

Veile, J. W., Kiel, D., Müller, J. M., & Voigt, K. I. (2020). Lessons learned from industry 4.0 implementation in the German manufacturing industry. Journal of Manufacturing Technology Management, 31(5), 977-997. http://dx.doi.org/10.1108/JMTM-08-2018-0270.

Villalonga, A., Beruvides, G., Castano, F., & Haber, R. E. (2020). Cloud-based industrial cyber-physical system for data-driven reasoning: a review and use case on an industry 4.0 pilot line. IEEE Transactions on Industrial Informatics, 16(9), 5975-5984. http://dx.doi.org/10.1109/TII.2020.2971057.

World Economic Forum, Accenture. (2018). Digital transformation initiative: executive summary. Geneva: World Economic Forum. Retrieved in 2022, July 13, from http://reports.weforum.org/digital-transformation%0Ahttp://reports.weforum.org/digital-transformation/wp-content/blogs.dir/94/mp/files/pages/files/dti-executive-summary-20180510.pdf

Xiao, Y., & Watson, M. (2019). Guidance on conducting a systematic literature review. Journal of Planning Education and Research, 39(1), 93-112. http://dx.doi.org/10.1177/0739456X17723971.

Zangiacomi, A., Pessot, E., Fornasiero, R., Bertetti, M., & Sacco, M. (2020). Moving towards digitalization: a multiple case study in manufacturing. Production Planning and Control, 31(2-3), 143-157. http://dx.doi.org/10.1080/09537287.2019.1631468.

Zangiacomi, A., Sacco, M., Pessot, E., De Zan, A., & Bertetti, M. (2018, June 17-20). A perspective for the implementation of a path towards the factory of the future: the Italian case. In G. Baltes & M. König (Orgs.), 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) (pp. 1-9). New York, United States of America: Institute of Electrical and Electronics Engineers. http://dx.doi.org/10.1109/ICE.2018.8436386.
 


Submitted date:
06/05/2022

Accepted date:
07/13/2022

6408676aa953952fb135d543 production Articles
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