The impacts of Industry 4.0 enabling technologies on operational strategy
Keywords:Smart manufacturing, Operations strategy, Technology adoption, Industry 4.0.
Purpose: Adapting to technological advances is a pertinent challenge for operations in the Manaus Industrial Park. This study aims to address the following research question: how do Industry 4.0 (I4.0) enabling technologies impact the quality and flexibility strategy in the Manaus Industrial Park?
Originality / Value: This study developed a systematic and structured way to understand the benefits of I4.0 technologies in quality strategies and flexibility of manufacturing production lines. Manaus Industrial Park plays an essential role in the development of innovations in the Amazon region, and companies must be competitive in this new context of digitization of manufacturing.
Methods: This study used a qualitative and descriptive approach. Data were collected through semi-structured interviews with industrial managers from 12 companies that operate in the Manaus Industrial Park.
Results: The results of this work point to a frequent use of computer systems to integrate machines in operations, such as the use of M2M technology and cyber-physical systems. The companies researched in the Manaus Industrial Park are adopting essential technologies to create the infrastructure for the I4.0 implantation. This is the first step to making smart factories in the future.
Conclusions: Industry 4.0 enabling technologies affect operations' quality and flexibility strategy, promoting cost savings by optimizing production processes.
Agostini, L., & Filippini, R. (2019). Organizational and managerial challenges in the path toward Industry 4.0. European Journal of Innovation Management. https://doi.org/10.1108/EJIM-02-2018-0030
Ancarani, A., Di Mauro, C., Legenvre, H., & Cardella, M. S. (2019). Internet of things adoption: a typology of projects. International Journal of Operations & Production Management. Vol.40, No.6, pp.849-872. https://doi.org/10.1108/IJOPM-01-2019-0095
Asokan, D. R., Huq, F. A., Smith, C. M., & Stevenson, M. (2022), Socially responsible operations in the Industry 4.0 era: post-COVID-19 technology adoption and perspectives on future research. International Journal of Operations & Production Management, Vol.42, No.13, pp.185-217. https://doi.org/10.1108/IJOPM-01-2022-0069
Bardin, L. (2009). Análise de conteúdo. São Paulo: Edições 70.
Buer, S. V., Strandhagen, J. O., & Chan, F. T. (2018). The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda. International Journal of Production Research, 56(8), 2924-2940. https://doi.org/10.1080/00207543.2018.1442945
Chen, Y., Visnjic, I., Parida, V., & Zhang, Z. (2021). On the road to digital servitization–The (dis) continuous interplay between business model and digital technology. International Journal of Operations & Production Management, 41(5), pp.694-722. https://doi.org/10.1108/IJOPM-08-2020-0544
Cagliano, R., Canterino, F., Longoni, A., & Bartezzaghi, E. (2019), The interplay between intelligent manufacturing technologies and work organization: the role of technological complexity. International Journal of Operations & Production Management. Vol.39 No.6/7/8, pp.913-934. https://doi.org/10.1108/IJOPM-01-2019-0093
Calabrese, A., Ghiron, N.L. and Tiburzi, L. (2020), ‘Evolutions’ and ‘Revolutions’ in Manufacturers’ Implementation of Industry 4.0: A Literature Review, a Multiple Case Study, and a Conceptual Framework. Production Planning and Control, Vol.32, No.3, pp.213-227. https://doi.org/10.1080/09537287.2020.1719715
Chiarini, A., Belvedere, V. and Grando, A. (2020), Industry 4.0 Strategies and Technological Developments. An Exploratory Research from Italian Manufacturing Companies. Production Planning and Control, Vol.31 No.16, pp.1385-1398. https://doi.org/10.1080/09537287.2019.1710304
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. https://doi.org/10.1016/j.ijpe.2018.08.019
Dalmarco, G., Ramalho, F.R., Barros, A.C., and Soares, A.L. (2019), Providing Industry 4.0 Technologies: The Case of a Production Technology Cluster. The Journal of High Technology Management Research, Vol.30, No.2, pp.100355. https://doi.org/10.1016/j.hitech.2019.100355
Sousa Jabbour, A. B. L., Jabbour, C. J. C., Foropon, C., & Godinho Filho, M. (2018). When titans meet–Can industry 4.0 revolutionize the environmentally-sustainable manufacturing wave? The role of critical success factors. Technological Forecasting and Social Change, 132, 18-25. https://doi.org/10.1016/j.techfore.2018.01.017
Eisenhardt, K. M. (1989). “Building theories from case study research.” Academy of management review, 14(4), 532-550.
Eisenhardt, K. M., & Graebner, M. E. (2007). Theory building from cases: Opportunities and challenges. Academy of management journal, 50(1), 25-32. https://doi.org/10.5465/amj.2007.24160888
Fatorachian, H. and Kazemi, H. (2018), A Critical Investigation of Industry 4.0 in Manufacturing: Theoretical Operationalisation Framework. Production Planning and Control, Vol.29, No.8, pp.633-644. https://doi.org/10.1080/09537287.2018.1424960
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. https://doi.org/10.1016/j.ijpe.2019.01.004
Ghobakhloo, M. (2018), The Future of Manufacturing Industry: A Strategic Roadmap Toward Industry 4.0. Journal of Manufacturing Technology Management, Vol.29, No.6, pp.910-936. https://doi.org/10.1108/JMTM-02-2018-0057
Horváth, D. and Szabó, R.Z. (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, Vol.146, pp.119-132. https://doi.org/10.1016/j.techfore.2019.05.021
Kamble, S. S., Gunasekaran, A., & Sharma, R. (2018). Analysis of the driving and dependence power of barriers to adopting industry 4.0 in the Indian manufacturing industry. Computers in Industry, 101, 107-119. https://doi.org/10.1016/j.compind.2018.06.004
Klingenberg, C. O., Borges, M. A. V., & Antunes Jr, J. A. V. (2019). Industry 4.0 as a data-driven paradigm: a systematic literature review on technologies. Journal of Manufacturing Technology Management. https://doi.org/10.1108/JMTM-09-2018-0325
Malhotra, N. K. (2006). Pesquisa de Marketing: uma orientação aplicadaPorto. AlegreBookman Editora.
Marcondes, R. C., Miguel, L. A. P., Franklin, M. A., & Perez, G. (2017). Metodologia para elaboração de trabalhos práticos e aplicados: administração e contabilidade. São Paulo: Editora Mackenzie.
Meredith, J. (1998). Building operations management theory through case and field research. Journal of operations management, 16(4), 441-454. https://doi.org/10.1016/S0272-6963(98)00023-0
Ministério da Economia. (2018). Portaria nº 2.091/SEI de 17 de dezembro de 2018. Diário Oficial da União: seção 1, Brasília, DF, ano 244, p. 144.
Moktadir, M.A., Ali, S.M., Kusi-Sarpong, S. and Shaikh, M.A.A. (2018), Assessing Challenges for Implementing Industry 4.0: Implications for Process Safety and Environmental Protection. Process Safety and Environmental Protection, Vol.117, pp.730-741. https://doi.org/10.1016/j.psep.2018.04.020
Pine, B. J., Victor, B., & Boynton, A. C. (1993). Making mass customization work. Harvard business review, 71(5), 108-11.
Pereira, R., & Cardoso, A. R. (2023). Does digitalization and the adoption of industry 4.0 components matter for the internationalization of Portuguese small and medium enterprises?. Future Studies Research Journal: Trends and Strategies, 15(1), e0694. https://doi.org/10.24023/FutureJournal/2175-5825/2023.v15i1.694
Raj, A., Dwivedi, G., Sharma, A., de Sousa Jabbour, A.B.L and Rajak, S. (2020), Barriers to the Adoption of Industry 4.0 Technologies in the Manufacturing Sector: An Inter-Country Comparative Perspective. International Journal of Production Economics, Vol.224, pp. 107546. https://doi.org/10.1016/j.ijpe.2019.107546
Reis, F. B. D., & Camargo Júnior, A. S. (2021). Industry 4.0 in manufacturing: benefits, barriers and organizational factors influencing its adoption. International Journal of Innovation and Technology Management, 18(08), 2150043. https://doi.org/10.1142/S0219877021500437
Secretaria do Meio Ambiente do Amazonas (2023). http://meioambiente.am.gov.br/amazonas-e-o-estado-com-maior-cobertura-natural-do-brasil-aponta-mapbiomas/ Accessed 18 April 2023.
Seidman, I. (2006). Interviewing as Qualitative Research: A Guide for Researchers in Education and the Social Sciences. Teachers College Press.
Singh, R., & Bhanot, N. (2020). An integrated DEMATEL-MMDE-ISM based approach for analysing the barriers of IoT implementation in the manufacturing industry. International Journal of Production Research, 58(8), 2454-2476. https://doi.org/10.1080/00207543.2019.1675915
Slack, N., Chambers, S., & Johnston, R. (2009). Administração da produção (Vol. 2). São Paulo: Atlas.
Sony, M., Antony, J., Mc Dermott, O., & Garza-Reyes, J. A. (2021). An empirical examination of benefits, challenges, and critical success factors of industry 4.0 in the manufacturing and service sector. Technology in Society, 67, 101754. https://doi.org/10.1016/j.techsoc.2021.101754
Superintendência da Zona Franca de Manaus - SUFRAMA. (2018). http://site.suframa.gov.br/assuntos/modelo-zona-franca-de-manaus/apresentacaoindicadores-do-pim-ago-2018.pdf Acessado 3 janeiro 2018.
Superintendência da Zona Franca de Manaus - SUFRAMA. (2021). https://www.gov.br/suframa/pt-br/publicacoes/noticias/polo-industrial-de-manaus-comeca-2021-com-faturamento-de-r-10-22-bilhoes Acessado em 5 de fevereiro de 2023.
Tortorella, G. L., Giglio, R., & Van Dun, D. H. (2019). “Industry 4.0 adoption as a moderator of the impact of lean production practices on operational performance improvement.” International Journal of Operations & Production Management. Vol.39, No.6/7/8, pp.860-886. https://doi.org/10.1108/IJOPM-01-2019-0005
Voss, C., Tsikriktsis, N., & Frohlich, M. (2002). Case Research In Operations Management. International Journal of Operations and Production Management, 22(2), 195-219.
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. https://doi.org/10.1080/00207543.2018.1444806
Yin, R. K. (2018). “Case study research and applications: design and methods.” Sixth edition. Los Angeles: SAGE
Zangiacomi, A., Pessot, E., Fornasiero, R., Bertetti, M., & Sacco, M. (2020). Moving towards digitalization: A multiple case study in manufacturing. Production Planning & Control, 31(2-3), 143-157. https://doi.org/10.1080/09537287.2019.1631468
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