Skip to main content

Advertisement

SpringerLink
Log in

Flexibility in the Brazilian Industry 4.0: Challenges and Opportunities

  • Original Research
  • Published:
Global Journal of Flexible Systems Management Aims and scope Submit manuscript

Abstract

The aim of this study is to analyze the results of a research carried out in Brazilian manufacturing companies that have typical initiatives of Industry 4.0, in order to identify the main challenges and opportunities of building a flexible industry and to provide elements that enable manufacturers to guide this construction with a little more security. Through the literature review, 28 challenges and 23 opportunities were identified and submitted by a questionnaire to 39 leaders of national and multinational manufacturing companies in Brazil, identifying which challenges and opportunities were the most and the least important. This study brings two theoretical contributions: it enriches the literature on challenges and opportunities of flexibility and draws attention to issues on the implementation of a flexible industry that needs studies. The management contributions are: (1) show the relative importance of 28 challenges and 23 opportunities and (2) detail the content of 24 questions (the 6 most and the 6 least relevant challenges and opportunities) in order to give certain security to the manufacturers to guide the building of the flexible industry and direct implementation actions. The limitations of this study are the reduced number of companies and segments of economy observed (Auto Parts, Metal-mechanics and Metallurgy) for an empirical study and the opinions of leaders in a moment, which may change, not allowing generalizations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Aldrighetti, R., Zennaro, I., Finco, S., & Daria Battini, D. (2019). Healthcare supply chain simulation with disruption considerations: A case study from Northern Italy. Global Journal of Flexible Systems Management,20(Suppl 1), S81–S102.

    Google Scholar 

  • Al-Jarallah, R., & Aly, E.-E. A. A. (2014). Nonparametric tests for comparing several coefficients of variation. Communications in Statistics—Theory and Methods,43(17), 3602–3613.

    Google Scholar 

  • Babazadeh, R., Razmi, J., & Ghodsi, R. (2012). Supply chain network design problem for a new market opportunity in an agile manufacturing system. Journal of Industrial Engineering International,8(1), 8–19. https://doi.org/10.1186/2251-712X-8-19.

    Article  Google Scholar 

  • Batista, N. C., Melício, R., & Mendes, V. M. F. (2017). Services enabler architecture for smart grid and smart living services providers under Industry 4.0. Energy and Buildings,141, 16–27.

    Google Scholar 

  • Beach, R., Muhlemann, A. P., Price, D. H. R., Paterson, A., & Sharp, J. A. (2000). A review of manufacturing flexibility. European Journal of Operational Research,122, 41–57.

    Google Scholar 

  • Birkel, H. S., Veile, J. W., Müller, J. M., Hartmann, E., & Voigt, K.-I. (2019). Development of a risk framework for Industry 4.0 in the context of sustainability for established manufacturers. Sustainability (Switzerland),11(2), 384. https://doi.org/10.3390/su11020384.

    Article  Google Scholar 

  • Bosch, J., & Bosch-Sijtsema, P. M. (2011). Introducing agile customer-centered development in a legacy software product line. Software Practice and Experience,41(8), 871–882. https://doi.org/10.1002/spe.1063.

    Article  Google Scholar 

  • Brandse, M., & Tomimatsu, K. (2013). Empirical review of challenge design in video game design. In C. Stephanidis (Ed.), HCI international 2013—Posters’ extended abstracts. HCI 2013. Communications in computer and information science (pp. 398–406). Berlin: Springer. https://doi.org/10.1007/978-3-642-39473-7_80.

    Chapter  Google Scholar 

  • Chakraborty, S., Sharma, A., & Vaidya, O. S. (2020). Achieving sustainable operational excellence through IT implementation in Indian logistics sector: An analysis of barriers. Resources, Conservation and Recycling,152, 104506.

    Google Scholar 

  • Chang, S., Lin, R., Chang, F., & Chen, R. (2007). Achieving manufacturing flexibility through entrepreneurial orientation. Industrial Management and Data Systems,107(7), 997–1017.

    Google Scholar 

  • Chowdhury, R., & Jangle, N. (2018). Critical systems thinking towards enhancing community engagement in micro-insurance. Global Journal of Flexible Systems Management,19(3), 209–224.

    Google Scholar 

  • Ciabuschi, F., Perna, A., & Snehota, I. (2012). Assembling resources when forming a new business. Journal of Business Research,65(2), 220–229. https://doi.org/10.1016/j.jbusres.2010.11.029.

    Article  Google Scholar 

  • Contador, J. C. (2008). Campos e Armas da Competicao [Fields and Weapons of the Competition]. Sao Paulo: Saint Paul.

    Google Scholar 

  • Contador, J. C., & Contador, J. L. (2010). Programação e controle da produção, IN: Contador, J. Celso, coord. Gestão de Operações [Operations Management] (3rd ed.). São Paulo: Blucher.

  • Correa, H. L. (1994). Flexibilidade estratégica na manufatura: incertezas e variabilidade de saída [Strategic flexibility in manufacturing: uncertainties and output variability]. Revista de Administração da USP,29(1), 2–13.

    Google Scholar 

  • Creswell, J. W. (2010). Projeto de Pesquisa: Métodos Qualitativos, Quantitativos e Misto. [Research project: qualitative, quantitative and mixed methods]. Translated by Magda F. Lopes. 3rd ed. Porto Alegre: Artmed.

  • Cunha, A., Mendonca, J.P., Catarino, M., Costa, H., & Nogueira, R. (2019). Sustainable manufacturing: the impact of collaboration on SMEs. In: 9th international conference on intelligent systems 2018: Theory, research and innovation in applications, IS 2018—Proceedings 8710505 (pp. 630–636).

  • 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.

    Google Scholar 

  • de Sousa Jabbour, A. B. L., Jabbour, C. J. C., Foropon, C., & Filho, M. G. (2018a). When titans meet—Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors. Technological Forecasting and Social Change,132, 18–25.

    Google Scholar 

  • de Sousa Jabbour, A. B. L., Jabbour, C. J. C., Godinho Filho, M., & Roubaud, D. (2018b). Industry 4.0 and the circular economy: A proposed research agenda and original roadmap for sustainable operations. Annals of Operations Research,270(1–2), 273–286.

    Google Scholar 

  • de Sousa Jabbour, A. B. L., Ndubisi, N. O., & Roman Pais Seles, B. M. (2019). Sustainable development in Asian manufacturing SMEs: Progress and directions. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2019.107567.

    Article  Google Scholar 

  • de Treville, S., Bendahan, S., & Vanderhaeghe, A. (2007). Manufacturing flexibility and performance: Bridging the gap between theory and practice. International Journal of Flexibility Manufacturing Systems,19, 334–357.

    Google Scholar 

  • Denisova, A., Guckelsberger, C., & Zendle, D. (2017). Challenge in digital games: Towards developing a measurement tool. In Conference on human factors in computing systems—Proceedings. Part F127655 (2511–2519).

  • Evtodieva, T. E., Chernova, D. V., Ivanova, N. V., & Wirth, J. (2020). The internet of things: Possibilities of application in intelligent supply chain management. Advances in Intelligent Systems and Computing,908, 395–403.

    Google Scholar 

  • Fatorachian, H., & Kazemi, H. (2018). A critical investigation of industry 4.0 in manufacturing: Theoretical operationalisation framework. Production Planning and Control: The Management of Operations,29(8), 633–644.

    Google Scholar 

  • Fernando, Y., Jabbour, C. J. C., & Wah, W.-X. (2019). Pursuing green growth in technology firms through the connections between environmental innovation and sustainable business performance: Does service capability matter? Resources, Conservation and Recycling,141, 8–20.

    Google Scholar 

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

    Google Scholar 

  • Gerlitz, L. (2015). Design for product and service innovation in Industry 4.0 and emerging smart society. Journal of Security and Sustainability Issues,5(2), 181–198.

    Google Scholar 

  • Gillies, D. (2011). Agile bodies: A new imperative in neoliberal governance. Journal of Education Policy,26(2), 207–223.

    Google Scholar 

  • Gowen, J. W. (1920). Conformation and its relation to milk producing capacity in Jersey cattle. Journal of Dairy Science,3(1), 1–32.

    Google Scholar 

  • Gozali, L., Kurniawan, V., & Nasution, S. R. (2019). Design of job scheduling system and software for packaging process with SPT, EDD, LPT, CDS and NEH algorithm at PT. ACP. IOP Conference Series: Materials Science and Engineering,528(1), 1–8.

    Google Scholar 

  • Gružauskas, V., Baskutis, S., & Navickas, V. (2018). Minimizing the trade-off between sustainability and cost-effective performance by using autonomous vehicles. Journal of Cleaner Production,184, 709–717. https://doi.org/10.1016/j.jclepro.2018.02.302.

    Article  Google Scholar 

  • Gupta, Y. P., & Somers, T. M. (1992). The measurement of manufacturing flexibility. European Journal of Operational Research,60, 166–192.

    Google Scholar 

  • Hanafizadeh, P., & Nik, M. R. H. (2020). Configuration of data monetization: A review of literature with thematic analysis. Global Journal of Flexible Systems Management,21(1), 17–34. https://doi.org/10.1007/s40171-019-00228-3.

    Article  Google Scholar 

  • Hessenkämper, A., Steffen, B., & Boßelmann, S. (2016). Global communication infrastructure: Towards standardization of customized projects via profile matching. Communications in Computer and Information Science,683, 83–96.

    Google Scholar 

  • Horváth, D., & Szabó, R. Z. S. (2019). Driving forces and barriers of Industry 4.0: do multinational and small and medium-sized companies have equal opportunities? Technological Forecasting and Social Change,146, 119–132. https://doi.org/10.1016/j.techfore.2019.05.021.

    Article  Google Scholar 

  • Huizinga, J. (1968). Homo Ludens: A study of the play-element in culture. London: Routledge & Kegan Paul.

    Google Scholar 

  • Jabbour, C. J. C., De Camargo Fiorini, P., Wong, C. W. Y., Jugend, D., De Sousa Jabbour, A. B. L., Seles, B. M. R. P., et al. (2020). First-mover firms in the transition towards the sharing economy in metallic natural resource-intensive industries: Implications for the circular economy and emerging industry 4.0 technologies. Resources Policy. https://doi.org/10.1016/j.resourpol.2020.101596.

    Article  Google Scholar 

  • Jabbour, C. J. C., & de Sousa Jabbour, A. B. L. (2016). Green human resource management and green supply chain management: Linking two emerging agendas. Journal of Cleaner Production,112, 1824–1833.

    Google Scholar 

  • Jabbour, C. J. C., Sarkis, J., de Sousa Jabbour, A. B. L., Renwick, D. W. S., Singh, S. K., Grebinevych, O., et al. (2019). Who is in charge? A review and a research agenda on the ‘human side’ of the circular economy. Journal of Cleaner Production,222, 793–801.

    Google Scholar 

  • Kagermann, H., Wahlster, W., & Helbig, J. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0 Final report of the Industrie 4.0 Working Group (Vol. 2013). Frankfurt: Acatech National Academy of Science and Engineering.

    Google Scholar 

  • Kamble, S. S., Gunasekaran, A., & Sharma, R. (2018). Analysis of the driving and dependence power of barriers to adopt industry 4.0 in Indian manufacturing industry. Computers in Industry,101, 107–119.

    Google Scholar 

  • Kara, S., & Kayis, B. (2004). Manufacturing flexibility and variability: An overview. Journal of Manufacturing Technology Management,15(6), 466–478.

    Google Scholar 

  • Kayis, B., & Kara, S. (2005). The supplier and customer contribution to manufacturing flexibility: Australian manufacturing industry’s perspective. Journal of Manufacturing Technology Management,16(7), 733–752.

    Google Scholar 

  • Khorasani, S. T. (2018). A robust optimization model for supply chain in agile and flexible mode based on variables of uncertainty. Global Journal of Flexible Systems Management,19(3), 239–253.

    Google Scholar 

  • Kitching, J., & Rouse, J. (2017). Opportunity or dead end? Rethinking the study of entrepreneurial action without a concept of opportunity. International Small Business Journal: Researching Entrepreneurship,35, 558–577. https://doi.org/10.1177/0266242616652211.

    Article  Google Scholar 

  • Kovacs, O. (2018). The dark corners of Industry 4.0—Grounding economic Governance 2.0. Technology in Society,55, 140–145.

    Google Scholar 

  • Lichtblau, K., Stich, V., Bertenrath, R., Blum, M., Bleider, M., Millack, A. K., et al. (2015). IMPULS—Industrie 4.0 Readiness. Aachen: VDMA’s IMPULS-Stiftung.

    Google Scholar 

  • Long, F., Zeiler, P., & Bertsche, B. (2017). Modelling the flexibility of production systems in Industry 4.0 for analysing their productivity and availability with high-level Petri nets. IFAC-Papers on Line,50(1), 5680–5687. https://doi.org/10.1016/j.ifacol.2017.08.1118.

    Article  Google Scholar 

  • Lund, H. B., & Karlsen, A. (2019). The importance of vocational education institutions in manufacturing regions: Adding content to a broad definition of regional innovation systems. Industry and Innovation. https://doi.org/10.1080/13662716.2019.1616534.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • Macurová, P., Ludvík, L., & Žwaková, M. (2017). The driving factors, risks and barriers of the Industry 4.0 concept. Journal of Applied Economic Sciences,12(7), 2003–2011.

    Google Scholar 

  • Marco-Ferreira, A., & Jabbour, C. J. C. (2019). Relating maturity levels in environmental management by adopting Green Supply Chain Management practices: Theoretical convergence and multiple case study. Gestão and Produção,26(1), e1822. https://doi.org/10.1590/0104-530x1822-19.

    Article  Google Scholar 

  • Marić, J., & Opazo-Basáez, M. (2019). Green servitization for flexible and sustainable supply chain operations: A review of reverse logistics services in manufacturing. Global Journal of Flexible Systems Management,20(Suppl 1), S65–S80.

    Google Scholar 

  • McCranie, K. D. (2013). Dueling with warships to satisfy honour: The use of naval challenges in the war of 1812. International Journal of Maritime History,25(2), 61–84.

    Google Scholar 

  • Melnik, A. N., Ermolaev, K. A., & Kuzmin, M. S. (2019). Mechanism for adjustment of the companies innovative activity control indicators to their strategic development goals. Global Journal of Flexible Systems Management,20(3), 189–218.

    Google Scholar 

  • Mihardjo, L. W. W., Elidjen, D., Alamsjah, F., & Sasmoko, S. (2018). The role of corporate reputation and distinctive organization capability in developing business model innovation: case study of Indonesian ICT firms in facing Industry Resolution40. Opcion,34(86), 2190–2208.

    Google Scholar 

  • Miller, D., & Shamsie, J. (1999). Strategic responses to three kinds of uncertainty: Product line simplicity at the Hollywood film studios. Journal of Management,25(1), 97–116.

    Google Scholar 

  • Ministerio da Economia, Industria, Comercio Exterior e Servicos [Ministry of Economy, Industry, Foreign Trade and Services], MDIC (2020). http://www.mdic.gov.br/index.php/competitividade-industrial/setor-automotivo. Accessed 28 February 2020.

  • Mittal, S. (2019). Role of continuity, specificity and frequency of firm–supplier exchanges in customer fulfilment: Evidence from Latin America. Global Journal of Flexible Systems Management,20(Suppl 1), S25–S37.

    Google Scholar 

  • Moeuf, A., Pellerin, R., Lamouri, S., Tamayo-Giraldo, S., & Barbaray, R. (2018). The industrial management of SMEs in the Era of Industry 4.0. International Journal of Production Research,56(3), 1118–1136.

    Google Scholar 

  • Moktadir, M. A., Ali, S. M., Jabbour, C. J. C., Paul, A., Ahmed, S., Sultana, R., et al. (2019). Key factors for energy-efficient supply chains: Implications for energy policy in emerging economies. Energy. https://doi.org/10.1016/j.energy.2019.116129.

    Article  Google Scholar 

  • Nguyen, N.-T. (2020). Performance evaluation in strategic alliances: A case of Vietnamese construction industry. Global Journal of Flexible Systems Management,21(1), 85–99. https://doi.org/10.1007/s40171-019-00230-9.

    Article  Google Scholar 

  • Nunes, M. F., & Park, C. L. (2017). Sustainable smart manufacturing: Assembling innovation-friendly enterprises. Challenges for Technology Innovation: An Agenda for the Future—Proceedings of the International Conference on Sustainable Smart Manufacturing,S2M(2016), 143–148.

    Google Scholar 

  • Ojra, A. (2019). Revisiting Industry 4.0: A new definition. Advances in Intelligent Systems and Computing,858, 1156–1162.

    Google Scholar 

  • Oke, A. (2005). A framework for analyzing manufacturing flexibility. International Journal of Operations and Production Management,25(10), 973–996.

    Google Scholar 

  • Özdemir, V. (2018). The dark side of the moon: The Internet of Things, Industry 4.0, and the quantified planet. OMICS A Journal of Integrative Biology,22(10), 637–641.

    Google Scholar 

  • Parameswar, N., Dhir, S., & Sushil, (2020). Interpretive ranking of choice of interaction of parent firms post-international joint venture termination using TISM-IRP. Global Journal of Flexible Systems Management,21(1), 1–16.

    Google Scholar 

  • Porter, M. E. (2008). The five competitive forces that shape strategy. Special Issue on HBS Centennial. Harvard Business Review,86(1), 78–93.

    Google Scholar 

  • Quezada, L. E., Chiu, A. S. F., Gouvea da Costa, S. E., & Tan, K. H. (2017). Operational excellence towards sustainable development goals through Industry 4.0. International Journal of Production Economics,190, 1–2. https://doi.org/10.1016/j.ijpe.2017.06.014.

    Article  Google Scholar 

  • Raj, A., Dwivedi, G., Sharma, A., de Sousa Jabbour, A. B. L., & Rajak, S. (2019). Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective. International Journal of Production Economics, 224, 107546.

    Google Scholar 

  • Raj, A., Kumar, J. A., & Bansal, P. (2020). A multicriteria decision making approach to study barriers to the adoption of autonomous vehicles. Transportation Research Part A: Policy and Practice,133, 122–137.

    Google Scholar 

  • Rossit, D. A., Tohmé, F., & Frutos, M. (2019). Industry40: Smart scheduling. International Journal of Production Research,57(12), 3802–3813.

    Google Scholar 

  • Roy, J., & Guyard A. B. (2012). Supporting threat analysis through description logic reasoning. In 2012 IEEE international multi-disciplinary conference on cognitive methods in situation awareness and decision support, CogSIMA 2012. New Orleans, LA (pp. 308–315). https://doi.org/10.1109/cogsima.2012.6188401.

  • Samiei, E., & Habibi, J. (2020). The mutual relation between enterprise resource planning and knowledge management: A review. Global Journal of Flexible Systems Management,21(1), 53–66. https://doi.org/10.1007/s40171-019-00229-2.

    Article  Google Scholar 

  • Santos, K., Loures, E., Piechnicki, F., & Canciglieri, O. (2017). Opportunities assessment of product development process in Industry 4.0. Procedia Manufacturing,11, 1358–1365.

    Google Scholar 

  • Scala, J., Purdy, L., & Safayeni, F. (2006). Application of cybernetics to manufacturing flexibility: A systems perspective. Journal of Manufacturing Technology Management,17(1), 22–41.

    Google Scholar 

  • Schiano-Lomoriello, D., Bono, V., Abicca, I., & Savini, G. (2020). Repeatability of anterior segment measurements by optical coherence tomography combined with Placido disk corneal topography in eyes with keratoconus. Scientific Reports,10(1), 1124. https://doi.org/10.1038/s41598-020-57926-7.

    Article  Google Scholar 

  • 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.2016.07.04.

    Article  Google Scholar 

  • Sehnem, S., Jabbour, C. J. C., Farias Pereira, S. C., & de Sousa Jabbour, A. B. L. (2019). Improving sustainable supply chains performance through operational excellence: Circular economy approach. Resources, Conservation and Recycling,149, 236–248.

    Google Scholar 

  • Sharahiley, S. M. (2020). Examining entrepreneurial intention of the Saudi Arabia’s University students: Analyzing alternative integrated research model of TPB and EEM. Global Journal of Flexible Systems Management,21(1), 67–84.

    Google Scholar 

  • Shukla, S. K., & Sushil, (2020a). Generic flexibility evaluation model. In P. Suri & R. Yadav (Eds.), Transforming organizations through flexible systems management. Flexible systems management (pp. 3–18). Singapore: Springer.

    Google Scholar 

  • Shukla, S. K., & Sushil, (2020b). Evaluating the practices of flexibility maturity for the software product and service organizations. International Journal of Information Management,50, 71–89.

    Google Scholar 

  • Shukla, S. K., Sushil, & Sharma, M. K. (2019). Managerial paradox toward flexibility: Emergent views using thematic analysis of literature. Global Journal of Flexible Systems Management,20(4), 349–370.

    Google Scholar 

  • Siemens Financial Services (SFS). (2018). Practical pathways to industry 4.0: The obstacles to digital transformation and how manufacturers can overcome them (pp. 1–11). Munich: Siemens AG.

    Google Scholar 

  • Sindicato das Industrias Metalurgicas, Mecânicas e de Material Eletrico e Eletronico do Estado do Rio Grande do Sul [Union of Metallurgical, Mechanical and Electrical and Electronic Material Industries of the State of Rio Grande do Sul], Sinmetal (2020). http://www.sinmetal.com.br/site/principal/conteudo_nivel3.asp?codConteudo=269. Accessed 28 February 2020.

  • Singh, R. K., Modgil, S., & Acharya, P. (2019). Assessment of supply chain flexibility using system dynamics modeling. Global Journal of Flexible Systems Management,20(Suppl 1), S39–S63.

    Google Scholar 

  • Slack, N. (1993). Vantagem competitiva em manufatura: atingindo a competitividade nas operações industriais [Competitive advantage in manufacturing: reaching competitiveness in industrial operations]. São Paulo: Atlas.

    Google Scholar 

  • Slack, N. (2005). The flexibility of manufacturing systems. International Journal of Operations and Production Management,25(12), 1190–1200.

    Google Scholar 

  • Sung, T. K. (2018). Industry 4.0: A Korea perspective. Technological Forecasting and Social Change,132, 40–45.

    Google Scholar 

  • Sushil, (2015). Strategic flexibility: The evolving paradigm of strategic management. Global Journal of Flexible Systems Management,16(2), 113–114.

    Google Scholar 

  • Sushil, (2016). Theory of flexible systems management. In Sushil, J. Connel, & J. Burgess (Eds.), Flexible work organizations. Flexible systems management (pp. 3–20). New Delhi: Springer.

    Google Scholar 

  • Sushil, (2017). Small steps for a giant leap: Flexible organization. Global Journal of Flexible Systems Management,18, 273–274. https://doi.org/10.1007/s40171-017-0163-7.

    Article  Google Scholar 

  • Sushil, (2018). Flexible systems methodology: A mixed-method/multi-method research approach. Global Journal of Flexible Systems Management,19(2), 109–110.

    Google Scholar 

  • Sushil, (2019). Theory building using SAP-LAP linkages: An application in the context of disaster management. Annals of Operations Research,283(1–2), 811–836.

    Google Scholar 

  • Swamidass, P. M., & Newell, W. T. (1987). Manufacturing strategy, environmental uncertainty and performance: A path analytic model. Management Science,33(4), 509–524.

    Google Scholar 

  • Szalavetz, A. (2017). The environmental impact of advanced manufacturing technologies: Examples from Hungary. Central European Business Review,6(2), 18–29.

    Google Scholar 

  • Tatipala, S., Wall, J., Johansson, C. M., & Sigvant, M. (2018). Data-driven modelling in the era of Industry 4.0: A case study of friction modelling in sheet metal forming simulations. Journal of Physics: Conference Series,1063(1), 1–6. https://doi.org/10.1088/1742-6596/1063/1/012135.

    Article  Google Scholar 

  • Teschemacher, U., & Reinhart, G. (2017). Ant colony optimization algorithms to enable dynamic milkrun logistics. Procedia CIRP,63, 762–767.

    Google Scholar 

  • Theorin, A., Bengtsson, K., Provost, J., Lieder, M., Johnsson, C., Lundholm, T., et al. (2017). An event-driven manufacturing information system architecture for Industry 4.0. International Journal of Production Research,55(5), 1297–1311. https://doi.org/10.1080/00207543.2016.1201604.

    Article  Google Scholar 

  • Tortorella, G. L., Cawley Vergara, A. M., Garza-Reyes, J. A., & Sawhney, R. (2020). Organizational learning paths based upon Industry 4.0 adoption: An empirical study with Brazilian manufacturers. International Journal of Production Economics,219, 284–294.

    Google Scholar 

  • Uuskoski, M., Menon, K., Kärkkäinen, H., & Koskinen, K. (2018). Perceived risks and benefits of advanced pay-per-use type of business models based on Industry 4.0 enabled technologies in manufacturing companies. IFIP Advances in Information and Communication Technology,540, 498–507.

    Google Scholar 

  • Velloso, J. P. R. (2011). A solidão do corredor de longa distância: Brasil—novo modelo de desenvolvimento, para criar a “era das grandes oportunidades, rumo ao país desenvolvido”. [The loneliness of the long-distance runner: Brazil—new development model, to create the “era of great opportunities, towards the developed country”. Brasília: IPEA—Instituto de Pesquisa Economica Aplicada [Institute of Applied Economic Research], 223.

  • Verdú, A. J., & Gómez-Gras, J. (2009). Measuring the organizational responsiveness through managerial flexibility. Journal of Organizational Change Management,22(6), 668–690.

    Google Scholar 

  • Vokurka, R. J., & O’leary-Kelly, S. W. (2000). A review of empirical research on manufacturing flexibility. Journal of Operations Management,18, 485–501.

    Google Scholar 

  • Weber, K. M., Gudowsky, N., & Aichholzer, G. (2019). Foresight and technology assessment for the Austrian parliament—Finding new ways of debating the future of Industry 4.0. Futures,109, 240–251. https://doi.org/10.1016/j.futures.2018.06.018.

    Article  Google Scholar 

  • Xu, L. D., Xu, E. L., & Li, L. (2018). Industry 40: State of the art and future trends. International Journal of Production Research,56(8), 2941–2962.

    Google Scholar 

  • Yong, J. Y., Yusliza, M.-Y., Jabbour, C. J. C., & Ahmad, N. H. (2019). Exploratory cases on the interplay between green human resource management and advanced green manufacturing in light of the Ability-Motivation-Opportunity theory. Journal of Management Development,39(1), 31–49.

    Google Scholar 

  • Zambon, I., Egidi, G., Rinaldi, F., & Cividino, S. (2019). Applied research towards Industry 4.0: Opportunities for SMEs. Processes,7(6), 344. https://doi.org/10.3390/pr7060344.

    Article  Google Scholar 

  • Zhao, S., & Zhu, Q. (2018). A risk-averse marketing strategy and its effect on coordination activities in a remanufacturing supply chain under market fluctuation. Journal of Cleaner Production,171, 1290–1299.

    Google Scholar 

Download references

Acknowledgements

The authors are thankful to all industry experts for their time, spontaneous contribution and valuable responses, to Mrs. Dinan Dhom Pimentel Satyro for providing linguistic help and to UNIP (Brazil), UNINOVE (Brazil), UNIFACCAMP (Brazil) and USP (Brazil).

Author information

Authors and Affiliations

  1. Postgraduate Program in Business Administration, Paulista University (UNIP), São Paulo, SP, Brazil

    José Celso Contador

  2. Postgraduate Program in Production Engineering, University Nove de Julho (UNINOVE), Rua Vergueiro, 235/249, Liberdade, São Paulo, SP, 01504-001, Brazil

    Walter Cardoso Satyro

  3. Postdoctoral Program in Production Engineering, Polytechnic School of the University of Sao Paulo (USP), São Paulo, SP, Brazil

    Walter Cardoso Satyro & Mauro de Mesquita Spinola

  4. University Center Campo Limpo Paulista (UNIFACCAMP), Guaratingueta, SP, Brazil

    Jose Luiz Contador

Authors
  1. José Celso Contador
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Walter Cardoso Satyro
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jose Luiz Contador
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mauro de Mesquita Spinola
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Walter Cardoso Satyro.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest. The authors state the clarification of the anonymization of the data collection or for questionnaires.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Contador, J.C., Satyro, W.C., Contador, J.L. et al. Flexibility in the Brazilian Industry 4.0: Challenges and Opportunities. Glob J Flex Syst Manag 21 (Suppl 1), 15–31 (2020). https://doi.org/10.1007/s40171-020-00240-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40171-020-00240-y

Keywords

Search

Navigation