Análise da utilização das tecnologias da indústria 4.0 nos modelos de negócios de PMEs do setor metalmecânico

Gustavo Fucks; Laura Visintainer Lerman; Guilherme Brittes Benitez; Mateus José do Rego Ferreira Lima; Alejandro Germán Frank

doi:10.5585/exactaep.2021.16855

Authors

Gustavo Fucks Universidade Federal do Rio Grande do Sul
Laura Visintainer Lerman Universidade Federal do Rio Grande do Sul https://orcid.org/0000-0002-3098-7200
Guilherme Brittes Benitez Universidade Federal do Rio Grande do Sul https://orcid.org/0000-0003-1222-4557
Mateus José do Rego Ferreira Lima Universidade do Estado de Ohio https://orcid.org/0000-0002-0846-7460
Alejandro Germán Frank Universidade Federal do Rio Grande do Sul https://orcid.org/0000-0001-5041-6467

DOI:

https://doi.org/10.5585/exactaep.2021.16855

Keywords:

Industry 4.0, Business model, SMEs, Metal-mechanic sector.

Abstract

This article explores the concepts and technologies of Industry 4.0 by analyzing the business model of small and medium size companies in the Brazilian metalworking sector. The objective is to identify the main problems associated with the business model in companies of the metal-mechanic sector and to point out how the technologies of Industry 4.0 could help in solving the problems. Among the methodological there is a questionnaire applied in metal-mechanic industries which addresses the adoption of 4.0 technologies for the transition from automation to digitalization. As a result, a framework that synthesizes the technological development of companies and directs 4.0 technologies that must be prioritized to overcome the difficulties encountered in business models. The study pointed out that technologies focused on digitization and process integration tend to offer greater benefits to the sector and should be prioritized for the development of SMEs.

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Author Biographies

Gustavo Fucks, Universidade Federal do Rio Grande do Sul

Gustavo Fucks é Engenheiro de Produção pelo Departamento de Engenharia de Produção na Universidade Federal do Rio Grande do Sul. Atua no Departamento Industrial, principalmente, no setor metalmecânico. Atualmente, programador na empresa Imer, referência no setor de usinagem e fabricação de moldes em Porto Alegre. Possui experiência de mais de 12 anos no setor metalmecânico. Entre as principais habilidades adquiridas ao longo da carreira, estão otimização de processos, desenvolvimento de estratégias para a programação da produção e análise de ferramentas.

Laura Visintainer Lerman, Universidade Federal do Rio Grande do Sul

Laura Visintainer Lerman, mestre, é doutoranda no Departamento de Engenharia de Produção na Universidade Federal do Rio Grande do Sul (UFRGS) – Brasil, e é pesquisadora no Núcleo de Engenharia Organizacional na mesma universidade. Laura é Engenheira de Produção pela UFRGS e bacharela em Administração pela Pontifícia Universidade Católica do Rio Grande do Sul. Seus interesses de pesquisa englobam inovação e gestão tecnológica no contexto de sistemas de energias renováveis.

Guilherme Brittes Benitez, Universidade Federal do Rio Grande do Sul

Guilherme Brittes Benitez, mestre, é doutorando no Departamento de Engenharia de Produção na Universidade Federal do Rio Grande do Sul (UFRGS) – Brasil, e é pesquisadora no Núcleo de Engenharia Organizacional na mesma universidade. Sua pesquisa é focado na criação de ecossistemas para Indústria 4.0.

Mateus José do Rego Ferreira Lima, Universidade do Estado de Ohio

Mateus José do Rêgo Ferreira Lima, mestre, doutorando no Departamento Ciências da Administração (com foco em Gestão de Operações) na Fisher College of Business, na Universidade do Estado de Ohio, Columbus, Ohio, Estados Unidos. Ele obteve seu mestrado em Engenharia de Produção na Universidade Federal do Rio Grande do Sul, Brasil, e sua graduação em Engenharia de Produção na Universidade Estadual do Maranho com período sanduíche na Milwaukee School of Engineering, Estados Unidos. Sua pesquisa é focada em gestão de operações e inovação industrial.

Alejandro Germán Frank, Universidade Federal do Rio Grande do Sul

Alejandro G. Frank é Pós-Doutor. É um professor associado do Departamento de Engenharia de Produção da Universidade Federal do Rio Grande do Sul (UFRGS) e é pesquisador afiliado do MIT Industrial Performance Center. Na UFRGS, é diretor no Núcleo de Engenharia Organizacional. É doutor (2013) e Mestre (2009) em Engenharia de Produção pela UFRGS, Brasil, e é bacharel em Engenharia de Produção pela Universidade Nacional de Misiones, Argentina. Foi professor visitante no MIT, Estados Unidos, e no Politécnico de Milão. Sua pesquisa é focada na interface entre operações e gestão tecnológica, com ênfase em transformação digital, Indústria 4.0, e novos modelos de negócios em indústrias.

References

Al-Debi, M. M., El-Haddadeh, R., & Avison, D. (2008). Defining the business model in the new world of digital business. AMCIS 2008 proceedings, 300.

Amato Neto, J. (2009). Gestão de sistemas locais de produção e inovação (clusters/APLs): Um modelo de referência. São Paulo: Atlas, 178.

Amit, R., & Zott, C. (2001). Value creation in E-business. Strategic Management Journal, 22(6–7), 493–520. https://doi.org/10.1002/smj.187

Balletti, C., Ballarin, M., & Guerra, F. (2017). 3D printing: State of the art and future perspectives. Journal of Cultural Heritage, 26, 172–182. https://doi.org/10.1016/j.culher.2017.02.010

Bartodziej, C. J. (2017a). Technologies and functions of the concept Industry 4.0. In The Concept Industry 4.0 (p. 51–78). Springer.

Bartodziej, C. J. (2017b). The concept industry 4.0. In The concept industry 4.0 (p. 27–50). Springer.

Basso, D., Neto, B. S., & Stoffel, J. (2005). Concentração e especialização em setores industriais na região Noroeste Colonial do Rio Grande do Sul. Indicadores Econômicos FEE, 33(3), 163–174.

Becker, J., Knackstedt, R., & Pöppelbuß, J. (2009). Developing Maturity Models for IT Management: A Procedure Model and its Application. Business & Information Systems Engineering, 1(3), 213–222. https://doi.org/10.1007/s12599-009-0044-5

Benitez, G. B., Ayala, N. F., & Frank, A. G. (2020). Industry 4.0 innovation ecosystems: An evolutionary perspective on value cocreation. International Journal of Production Economics, 107735.

Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. (2013). Digital business strategy: Toward a next generation of insights. MIS quarterly, 471–482.

Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2014). How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 Perspective. International journal of mechanical, industrial science and engineering, 8(1), 37–44.

Castelo-Branco, I., Cruz-Jesus, F., & Oliveira, T. (2019). Assessing Industry 4.0 readiness in manufacturing: Evidence for the European Union. Computers in Industry, 107, 22–32.

Chesbrough, H. (2010). Business model innovation: Opportunities and barriers. Long range planning, 43(2–3), 354–363.

CNI, C. (2016). Indústria 4.0: Novo Desafio para a indústria Brasileira. Indicadores CNI, 17, 13.

Dalenogare, L. S., Benitez, G. B., Ayala, N. F., & Frank, A. G. (2018). The expected contribution of Industry 4.0 technologies for industrial performance. International Journal of Production Economics, 204, 383–394.

D’aveni, R. A. (2013). 3-D printing will change the world. Harvard business review, 91(3), 34–35.

Doce, L. C., & de Oliveira Gomes, P. F. (2018). AVALIAÇÃO DO NIVEL DE MATURIDADE DE UMA INDÚSTRIA METAL MECANICA DO NOROESTE DO PARANA COM BASE NOS CONCEITOS DA INDÚSTRIA 4.0. Trabalhos de Conclusão de Curso do DEP, 13(1).

Dorion, E. C. H., Guimarães, J. C. F., Severo, E. A., Reis, Z. C., & Olea, P. M. (2014). Innovation and production management through a just in sequence strategy in a multinational Brazilian Metal-mechanic Industry. 2014 IEEE International Conference on Management of Innovation and Technology, 54–60. https://doi.org/10.1109/ICMIT.2014.6942400

Fahmideh, M., & Zowghi, D. (2020). An exploration of IoT platform development. Information Systems, 87, 101409.

Fan, J., Yu, S., Chu, J., Chen, D., Yu, M., Wu, T., Chen, J., Cheng, F., & Zhao, C. (2019). Research on multi-objective decision-making under cloud platform based on quality function deployment and uncertain linguistic variables. Advanced Engineering Informatics, 42, 100932.

Frank, Alejandro G., Mendes, G. H. S., Ayala, N. F., & Ghezzi, A. (2019a). Servitization and Industry 4.0 convergence in the digital transformation of product firms: A business model innovation perspective. Technological Forecasting and Social Change, 141, 341–351. https://doi.org/10.1016/j.techfore.2019.01.014

Frank, Alejandro Germán, Cortimiglia, M. N., Ribeiro, J. L. D., & de Oliveira, L. S. (2016). The effect of innovation activities on innovation outputs in the Brazilian industry: Market-orientation vs. technology-acquisition strategies. Research Policy, 45(3), 577–592.

Frank, Alejandro Germán, Dalenogare, L. S., & Ayala, N. F. (2019b). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15–26.

Gilchrist, A. (2016). Industry 4.0: The industrial internet of things. Springer.

Goerzig, D., & Bauernhansl, T. (2018). Enterprise Architectures for the Digital Transformation in Small and Medium-sized Enterprises. Procedia CIRP, 67, 540–545. https://doi.org/10.1016/j.procir.2017.12.257

Guan, J. C., Mok, C. K., Yam, R. C. M., Chin, K. S., & Pun, K. F. (2006). Technology transfer and innovation performance: Evidence from Chinese firms. Technological Forecasting and Social Change, 73(6), 666–678. https://doi.org/10.1016/j.techfore.2005.05.009

Hall, B. H., & Maffioli, A. (2008). Evaluating the impact of technology development funds in emerging economies: Evidence from Latin America. The European Journal of Development Research, 20(2), 172–198. https://doi.org/10.1080/09578810802060819

Hermann, M., Pentek, T., & Otto, B. (2016). Design Principles for Industrie 4.0 Scenarios. 2016 49th Hawaii International Conference on System Sciences (HICSS), 3928–3937. https://doi.org/10.1109/HICSS.2016.488

Ibarra, D., Ganzarain, J., & Igartua, J. I. (2018). Business model innovation through Industry 4.0: A review. Procedia Manufacturing, 22, 4–10. https://doi.org/10.1016/j.promfg.2018.03.002

Issa, A., Hatiboglu, B., Bildstein, A., & Bauernhansl, T. (2018). Industrie 4.0 roadmap: Framework for digital transformation based on the concepts of capability maturity and alignment. Procedia CIRP, 72, 973–978. https://doi.org/10.1016/j.procir.2018.03.151

Jeschke, S., Brecher, C., Meisen, T., Özdemir, D., & Eschert, T. (2017). Industrial Internet of Things and Cyber Manufacturing Systems. In S. Jeschke, C. Brecher, H. Song, & D. B. Rawat (Orgs.), Industrial Internet of Things: Cybermanufacturing Systems (p. 3–19). Springer International Publishing. https://doi.org/10.1007/978-3-319-42559-7_1

Kagermann, H., Helbig, J., Hellinger, A., & Wahlster, W. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry; final report of the Industrie 4.0 Working Group. Forschungsunion.

Kahle, J. H., Marcon, É., Ghezzi, A., & Frank, A. G. (2020). Smart Products value creation in SMEs innovation ecosystems. Technological Forecasting and Social Change, 156, 120024.

Kaminski, P. C., de Oliveira, A. C., & Lopes, T. M. (2008). Knowledge transfer in product development processes: A case study in small and medium enterprises (SMEs) of the metal-mechanic sector from São Paulo, Brazil. Technovation, 28(1), 29–36. https://doi.org/10.1016/j.technovation.2007.07.001

Kiel, D., Gasse, L., Arnold, C., Collisi, M., & Voigt, K.-I. (2016). THE IMPACT OF THE INDUSTRIAL INTERNET OF THINGS ON ESTABLISHED BUSINESS MODELS. Conference Proceedings, 24.

Kumar, N., & Siddharthan, N. S. (2013). Technology, market structure and internationalization: Issues and policies for developing countries. Routledge.

Leite, R., Amorim, M., Rodrigues, M., & Oliveira Neto, G. (2019). Overcoming Barriers for Adopting Cleaner Production: A Case Study in Brazilian Small Metal-Mechanic Companies. Sustainability, 11(17), 4808. https://doi.org/10.3390/su11174808

Li, L. (2018). China’s manufacturing locus in 2025: With a comparison of “Made-in-China 2025” and “Industry 4.0”. Technological Forecasting and Social Change, 135, 66–74.

Lu, H.-P., & Weng, C.-I. (2018). Smart manufacturing technology, market maturity analysis and technology roadmap in the computer and electronic product manufacturing industry. Technological Forecasting and Social Change, 133, 85–94. https://doi.org/10.1016/j.techfore.2018.03.005

Luthra, S., & Mangla, S. K. (2018). Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies. Process Safety and Environmental Protection, 117, 168–179. https://doi.org/10.1016/j.psep.2018.04.018

Nick, G., Szaller, Á., Bergmann, J., & VárgedHo, T. (2019). Industry 4.0 readiness in Hungary: Model, and the first results in connection to data application. IFAC-PapersOnLine, 52(13), 289–294.

Osterwalder, A., & Pigneur, Y. (2010). Business model generation: A handbook for visionaries, game changers, and challengers. John Wiley & Sons.

Pacchini, A. P. T., Lucato, W. C., Facchini, F., & Mummolo, G. (2019). The degree of readiness for the implementation of Industry 4.0. Computers in Industry, 113, 103125.

Park, N., & Kim, M. (2014). Implementation of load management application system using smart grid privacy policy in energy management service environment. Cluster Computing, 17(3), 653–664.

Pintec, I. B. G. E. (2017). Pesquisa de Inovação Tecnológica. IBGE-Coordenação de indústria, Rio de Janeiro.

Pisano, G. P., & Shih, W. C. (2012). Producing prosperity: Why America needs a manufacturing renaissance. Harvard Business Press.

Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual review of psychology, 63, 539–569.

Porter, M. E., & Heppelmann, J. E. (2014). How Smart, Connected Products Are Transforming Competition. 23.

Reynolds, E. B., & Uygun, Y. (2018). Strengthening advanced manufacturing innovation ecosystems: The case of Massachusetts. Technological Forecasting and Social Change, 136, 178–191. https://doi.org/10.1016/j.techfore.2017.06.003

Rifkin, J. (2001). The age of access: The new culture of hypercapitalism. Penguin.

Rong, K., Patton, D., & Chen, W. (2018). Business models dynamics and business ecosystems in the emerging 3D printing industry. Technological Forecasting and Social Change, 134, 234–245. https://doi.org/10.1016/j.techfore.2018.06.015

Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., & Harnisch, M. (2015). Industry 4.0: The future of productivity and growth in manufacturing industries. Boston Consulting Group, 9(1), 54–89.

Scheer, A.-W. (2013). Industrie 4.0: Wie sehen Produktionsprozesse im Jahr 2020 aus. IMC AG.

Scheer, A.-W., 1994. Cim: Computer Integrated Manufacturing towards the Factory of the Future. Secaucus. Springer Verlag, New Jersey, U.S.A.

Schumacher, A., Erol, S., & Sihn, W. (2016). A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises. Procedia CIRP, 52, 161–166. https://doi.org/10.1016/j.procir.2016.07.040

Severo, Eliana Andrea, Dorion, E. C. H., & Guimarães, J. C. F. D. (2017). Innovation and environmental sustainability: Analysis in Brazilian metal-mechanic industry. International Journal of Innovation and Sustainable Development, 11(2–3), 230–248. https://doi.org/10.1504/IJISD.2017.083286

Severo, Eliana Andréa, Guimarães, J. C. F. de, Dorion, E. C. H., & Nodari, C. H. (2015). Cleaner production, environmental sustainability and organizational performance: An empirical study in the Brazilian Metal-Mechanic industry. Journal of Cleaner Production, 96, 118–125. https://doi.org/10.1016/j.jclepro.2014.06.027

Simpson, J. A. (1989). The Oxford english dictionary (Vol. 15). Oxford University Press, USA.

Sok, P., & O’Cass, A. (2011). Achieving superior innovation-based performance outcomes in SMEs through innovation resource–capability complementarity. Industrial Marketing Management, 40(8), 1285–1293. https://doi.org/10.1016/j.indmarman.2011.10.007

Sturgeon, T. J. (2019). Upgrading strategies for the digital economy. Global Strategy Journal.

Tao, F., Qi, Q., Liu, A., & Kusiak, A. (2018). Data-driven smart manufacturing. Journal of Manufacturing Systems, 48, 157–169.

Telukdarie, A., Buhulaiga, E., Bag, S., Gupta, S., & Luo, Z. (2018). Industry 4.0 implementation for multinationals. Process Safety and Environmental Protection, 118, 316–329. https://doi.org/10.1016/j.psep.2018.06.030

Wang, L., Törngren, M., & Onori, M. (2015). Current status and advancement of cyber-physical systems in manufacturing. Journal of Manufacturing Systems, 37, 517–527. https://doi.org/10.1016/j.jmsy.2015.04.008

Wang, S., Wan, J., Li, D., & Zhang, C. (2016). Implementing smart factory of industrie 4.0: An outlook. International journal of distributed sensor networks, 12(1), 3159805.

Waterhouse, P. Cooper [PWC]. 2016. PWC Mining Survey 2016-Perceptions on risks and opportunities of investing in Peru's mining sector.

Weller, C., Kleer, R., & Piller, F. T. (2015). Economic implications of 3D printing: Market structure models in light of additive manufacturing revisited. International Journal of Production Economics, 164, 43–56.

Witzel, J. T. (2017). Análise da influência dos recursos do cluster na vantagem competitiva das firmas: Um estudo no setor metalmecânico e automotivo da serra gaúcha.

Xu, L. D., Xu, E. L., & Li, L. (2018). Industry 4.0: State of the art and future trends. International Journal of Production Research, 56(8), 2941–2962.