The benefits of robotics in manufacturing in the era of industry 4.0: a systematic literature review

Authors

  • Renan Rubim de Castro Souza Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil)
  • Cristiane Drebes Pedron Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil)

DOI:

https://doi.org/10.24023/FutureJournal/2175-5825/2025.v17i1.900

Keywords:

Electronic Information System, Digitalization, Innovation, Public administration, Legislative Branch

Abstract

Objetivo: O objetivo deste estudo é identificar os benefícios esperados da adoção de tecnologias de robótica na manufatura.

Originalidade/Valor: Este estudo preenche a lacuna teórica sobre os benefícios da robótica na manufatura, além da mera substituição de mão de obra, aprofundando a compreensão das vantagens da Indústria 4.0 e contribuindo para o desenvolvimento de futuras tecnologias e práticas industriais.

Métodos: Uma Revisão Sistemática da Literatura analisou trinta e cinco artigos das bases de dados Scopus e Web of Science, utilizando um protocolo estruturado, resultando em uma análise detalhada dos benefícios agrupados em categorias temáticas.

Resultados: A adoção da robótica na manufatura oferece benefícios como aumento da eficiência da produção, melhoria da qualidade, maior competitividade, melhorias ergonômicas e de segurança e redução de custos operacionais. Esses benefícios foram agrupados em cinco categorias principais.

Conclusões: O valor do artigo está em fornecer uma visão geral abrangente dos benefícios da robótica na manufatura, com implicações tanto para a teoria quanto para a prática, destacando a importância de políticas públicas que incentivem a adoção segura dessas tecnologias.

Downloads

Download data is not yet available.

Author Biographies

Renan Rubim de Castro Souza, Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil)

Mestrando do programa PPGP - Pós-graduação em Administração com ênfase em Gestão de Projetos da Universidade Nove de Julho - UNINOVE, São Paulo. Técnico em Mecatrônica e Automação Industrial (2003). Tenho interesse nas áreas de gerenciamento de projetos de robótica e novas tecnologias.

Cristiane Drebes Pedron, Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil)

Doutora em Gestão pelo Instituto Superior de Economia e Gestão (ISEG), da Universidade de Lisboa, (Portugal). Professora dos programas de Pós-Graduação em Administração - PPGA e Gestão de Projetos da Universidade Nove de Julho em São Paulo - UNINOVE, São Paulo. Editora científica da revista IPTEC.

References

Anzolin, G., & Andreoni, A. (2023). Robotising, but how? Evidence from the automotive sector in South Africa. Journal of Manufacturing Technology Management, (ahead-of-print), 34(5), 820-837. https://doi.org/10.1108/JMTM-06-2022-0242

Anzolin, G., Andreoni, A., & Zanfei, A. (2022). What is driving robotisation in the automotive value chain? Empirical evidence on the role of FDIs and domestic capabilities in technology adoption. Technovation, 115, 102476. https://doi.org/10.1016/j.technovation.2022.102476

Ashurst, C., Freer, A., Ekdahl, J., & Gibbons, C. (2012). Exploring IT-enabled innovation: A new paradigm?. International Journal of Information Management, 32(4), 326-336. https://doi.org/10.1016/j.ijinfomgt.2012.05.006

Aubry, M., Boukri, S. E., & Sergi, V. (2021). Opening the black box of benefits management in the context of projects. Project Management Journal, 52(5), 434-452. https://doi.org/10.1177/87569728211020606

AXELSON, J. V., MATTSSON, S., & LANGBECK, B. (2020) Planning for Nation Wide Dissemination of Robotics to SMEs. In SPS2020 (pp. 130-141). IOS Press. https://doi.org/10.3233/ATDE200150

Ballestar, M. T., Díaz-Chao, Á., Sainz, J., & Torrent-Sellens, J. (2021). Impact of robotics on manufacturing: A longitudinal machine learning perspective. Technological Forecasting and Social Change, 162, 120348. https://doi.org/10.1016/j.techfore.2020.120348

Bettiol, M., Capestro, M., Di Maria, E., & Ganau, R. (2024). Is this time different? How Industry 4.0 affects firms’ labor productivity. Small Business Economics, 62(4), 1449-1467. https://doi.org/10.1007/s11187- 023-00825-8

Bettiol, M., Capestro, M., Di Maria, E., & Micelli, S. (2021). SMEs@ Industry 4.0: a comparison between top and average performers. Sinergie Italian Journal of Management, 39(3), 27-48. https://doi.org/10.7433/S116.2021.03

Botha, A. P. (2019). A mind model for intelligent machine innovation using future thinking principles. Journal of Manufacturing Technology Management, 30(8), 1250-1264. https://doi.org/10.1108/JMTM-01-2018-0021

Čech, M., Wicher, P., Lenort, R., Malčic, T., David, J., Holman, D., ... & Záruba, J. (2020). Autonomous mobile robot technology for supplying assembly lines in the automotive industry. Acta logistica, 7(2), 103-109. https://doi.org/10.22306/al.v7i2.164

Clarke, S., & Doherty, N. (2004). The importance of a strong business‐IT relationship for the realisation of benefits in e‐business projects: the experiences of Egg. Qualitative Market Research: An International Journal, 7(1), 58-66. https://doi.org/10.1108/13522750410512886

Correa, R. D., Silva, L. F. D., & Scafuto, I. C. (2023). Mechanisms for capturing and transferring tacit knowledge between projects. International Journal of Knowledge Management Studies, 14(1), 50-73. https://doi.org/10.1504/IJKMS.2023.127305

De Vries, G. J., Gentile, E., Miroudot, S., & Wacker, K. M. (2020). The rise of robots and the fall of routine jobs. Labour Economics, 66, 101885. https://doi.org/10.1016/j.labeco.2020.101885

Doherty, N. F., Ashurst, C., & Peppard, J. (2012). Factors affecting the successful realisation of benefits from systems development projects: findings from three case studies. Journal of Information technology, 27(1), 1-16. https://doi.org/10.1057/jit.2011.8

Dupont, D. H., & Eskerod, P. (2016). Enhancing project benefit realization through integration of line managers as project benefit managers. International Journal of Project Management, 34(4), 779-788. https://doi.org/10.1016/j.ijproman.2015.10.009

El Souri, M., & Gao, J. (2022). Impact of Knowledge Exchange in Cross Regional Interdisciplinary Collaboration Within a Robotic Development Project. In Advances in Manufacturing Technology XXXV (pp. 107-112). IOS Press. https://doi.org/10.3233/ATDE220575

Enrique, D. V., Marcon, É., Charrua-Santos, F., & Frank, A. G. (2022). Industry 4.0 enabling manufacturing flexibility: technology contributions to individual resource and shop floor flexibility. Journal of Manufacturing Technology Management, 33(5), 853-875. https://doi.org/10.1108/JMTM-08-2021-0312

Fan, H., Hu, Y., & Tang, L. (2021). Labor costs and the adoption of robots in China. Journal of Economic Behavior & Organization, 186, 608-631. https://doi.org/10.1016/j.jebo.2020.11.024

Farina, J., & Fontana, J. (2021). Managing change towards Industry 4.0: How organizations design and implement Industry 4.0 projects. International Journal of Systematic Innovation, 6(4), 18-32. https://doi.org/10.6977.IJoSI.202106_6(4).0002

Fernandes, G., & O’Sullivan, D. (2021). Benefits management in university-industry collaboration programs. International Journal of Project Management, 39(1), 71-84. https://doi.org/10.1016/j.ijproman.2020.10.002

Forcina, A., & Falcone, D. (2021). The role of Industry 4.0 enabling technologies for safety management: A systematic literature review. Procedia Computer Science, 180, 436-445. https://doi.org/10.1016/j.procs.2021.01.260

Gihleb, R., Giuntella, O., Stella, L., & Wang, T. (2022). Industrial robots, workers’ safety, and health. Labour Economics, 78, 102205. https://doi.org/10.1016/j.labeco.2022.102205

Gomes, J., & Romão, M. (2018). Achieving dynamic capabilities through the benefits management approach. International Journal of Information Systems in the Service Sector (IJISSS), 10(2), 53-68. https://doi.org/10.4018/IJISSS.2018040104

Gonçalves, M. L. A., Penha, R., Silva, L. F., Martens, C. D., & Silva, V. F. (2023). The relationship between project management and digital transformation: Systematic literature review. RAM. Revista de Administração Mackenzie, 24, eRAMR230075. https://doi.org/10.1590/1678-6971/eRAMR230075.en

Hamidi, H. (2017). A model for impact of organizational project benefits management and its impact on end user. Journal of Organizational and End User Computing (JOEUC), 29(1), 51-65. https://doi.org/10.4018/JOEUC.2017010104

Hwang, W. S., & Kim, H. S. (2021). Does the adoption of emerging technologies improve technical efficiency? Evidence from Korean manufacturing SMEs. Small Business Economics, 59, 627–643. https://doi.org/10.1007/s11187-021-00554-w

Ietto, B., Ancillai, C., Sabatini, A., Carayannis, E. G., & Gregori, G. L. (2022). The role of external actors in SMEs’ human-centered industry 4.0 adoption: an empirical perspective on Italian competence centers. IEEE Transactions on Engineering Management. 71, 1057-1072. https://doi.org/10.1109/TEM.2022.3144881

Jia, W., Yang, T., & Zhang, X. (2023). The rise of robots and the fall of cost stickiness: Evidence from Chinese manufacturers. Accounting & Finance, 63(3), 3147-3171. https://doi.org/10.1111/acfi.13022

Kanski, L., & Pizon, J. (2023). The impact of selected components of industry 4.0 on project management. Journal of Innovation & Knowledge, 8(1), 100336. https://doi.org/10.1016/j.jik.2023.100336

Komal. (2020). Fuzzy fault tree analysis for controlling robot-related accidents involving humans in industrial plants: a case study. International Journal of Quality and Reliability Management, 38(6), 1342-1364. https://doi.org/10.1108/IJQRM-03-2020-0069

Kumar, P., Bhamu, J., & Sangwan, K. S. (2021). Analysis of barriers to Industry 4.0 adoption in manufacturing organizations: An ISM approach. Procedia Cirp, 98, 85-90. https://doi.org/10.1016/j.procir.2021.01.010

Lee, C. C., Qin, S., & Li, Y. (2022). Does industrial robot application promote green technology innovation in the manufacturing industry?. Technological Forecasting and Social Change, 183, 121893. https://doi.org/10.1016/j.techfore.2022.121893

Leenes, R., Palmerini, E., Koops, B. J., Bertolini, A., Salvini, P., & Lucivero, F. (2017). Regulatory challenges of robotics: some guidelines for addressing legal and ethical issues. Law, Innovation and Technology, 9(1), 1-44. https://doi.org/10.1080/17579961.2017.1304921

Li, D., Liang, Z., Tell, F., & Xue, L. (2021). Sectoral systems of innovation in the era of the fourth industrial revolution: an introduction to the special section. Industrial and Corporate Change, 30(1), 123-135. https://doi.org/10.1093/icc/dtaa064

Luo, H., & Qiao, H. (2023). Exploring the impact of industrial robots on firm innovation under circular economy umbrella: a human capital perspective. Management Decision. 62(9), 2763-2790. https://doi.org/10.1108/MD-02-2023-0285

Market Research Future. (2024, February). Smart Robot Market Research Report - Global Forecast Till 2023. Retrieved from https://www.marketresearchfuture.com/reports/smart-robot-market-6622 Acesso em 10 de março de 2024.

Marnewick, C., & Marnewick, A. L. (2019). The demands of industry 4.0 on project teams. IEEE Transactions on Engineering Management, 67(3), 941-949. https://doi.org/10.1109/TEM.2019.2899350

Martin, L., Gao, J., Le, C. H., Sarhan, A., Cherepeti, S., & Sarrazin, A. (2022). Modular, mobile and autonomous robotics for manufacturing SMEs. In Advances in Manufacturing Technology XXXV (pp. 101-106). IOS Press.

https://doi.org/10.3233/ATDE220574

Martin, L., Gao, J., Wilson, A., Le, C. H., & Ree, M. D. (2021). Autonomous mobile robots in high occupancy aerospace manufacturing. In Advances in Manufacturing Technology XXXIV (pp. 133-138). IOS Press.

https://doi.org/10.3233/ATDE210025

McKinsey & Company. (2020). Industry 4.0: Reimagining manufacturing operations after COVID-19. McKinsey & Company. https://www.mckinsey.com/capabilities/operations/our-insights/industry-40-reimagining-manufacturing-operations-after-covid-19/pt-BR Acesso em 10 de março de 2024.

Mittal, S., & Frayman, F. (1989, August). Towards a Generic Model of Configuraton Tasks. In IJCAI (Vol. 89, pp. 1395-1401).

Obermayer, N., Csizmadia, T., Hargitai, D. M., & Kigyós, T. (2020, December). Industry 4.0: Are we Robots?. In European Conference on Knowledge Management (pp. 566-XX). Academic Conferences International Limited. https://doi.org/10.34190/EKM.20.112

Pollock, A., & Berge, E. (2018). How to do a systematic review. International Journal of Stroke, 13(2), 138-156. https://doi.org/10.1177/1747493017743796

PwC. (2023). Índice Transformação Digital Brasil 2023: Um retrato da maturidade das organizações na jornada para incorporar tecnologias digitais e criar diferenciais valiosos para seus negócios. Recuperado de https://www.pwc.com.br/pt/estudos/servicos/consultoria-negocios/indice-transformacao-digital-brasil-2023.html Acesso em 17 de março de 2024.

Rane, S. B., Potdar, P. R., & Rane, S. (2021). Development of project risk management framework based on industry 4.0 technologies. Benchmarking: An International Journal, 28(5), 1451-1481. https://doi.org/10.1108/BIJ-03-2019-0123

Samset, K. (2009). Projects, their quality at entry and challenges in the front-end phase. In Making Essential Choices with Scant Information: Front-End Decision Making in Major Projects (pp. 18-35). London: Palgrave Macmillan UK. https://doi.org/10.1057/9780230236837_2

Santiago, S. B., de Oliveira Almeida, E. L., & Dias, J. O. (2019, October). Automatic welding process: a study case of Soldering Machine. In Proceedings of the International Conference on Industrial Engineering and Operations Management Toronto (pp. 23-25).

Schumacher, S., Hall, R., Waldman-Brown, A., & Sanneman, L. (2022). Technology Adoption of Collaborative Robots for Welding in Small and Medium-sized Enterprises: A Case Study Analysis. In Proceedings of the Conference on Production Systems and Logistics: CPSL 2022 (pp. 462-471). Hannover: publish-Ing.. https://doi.org/10.15488/12176

Sharma, A. (2023). Making electric vehicle batteries safer through better inspection using artificial intelligence and cobots. International Journal of Production Research, 62(4), 1277-1296. https://doi.org/10.1080/00207543.2023.2180308

Shi, Z., Xie, Y., Xue, W., Chen, Y., Fu, L., & Xu, X. (2020). Smart factory in Industry 4.0. Systems Research and Behavioral Science, 37, 607-617. https://doi.org/10.1002/sres.2704

Turner, J. R., & Müller, R. (2003). On the nature of the project as a temporary organization. International Journal of Project Management, 21(1), 1-8. https://doi.org/10.1016/S0263-7863(02)00020-0

Vaher, K., Mahmood, K., Otto, T., & Riives, J. (2021, May). Simulation based feasibility analysis of autonomously movable robot arm. In IOP Conference Series: Materials Science and Engineering (Vol. 1140, No. 1, p. 012055). IOP Publishing. https://doi.org/10.1088/1757-899X/1140/1/012055

Verma, S., & Singh, V. (2022). The Employees Intention to Work in Artificial Intelligence-Based Hybrid Environments. IEEE Transactions on Engineering Management. 71, 3266-3277. https://doi.org/10.1109/TEM.2022.3193664

Vido, M., Scur, G., Massote, A. A., & Lima, F. (2020). The impact of the collaborative robot on competitive priorities: case study of an automotive supplier. Gestão & Produção, 27(4), e5358. https://doi.org/10.1590/0104-530X5358-20

Wang, J., Wang, W., Liu, Y., & Wu, H. (2023). Can industrial robots reduce carbon emissions? Based on the perspective of energy rebound effect and labor factor flow in China. Technology in Society, 72, 102208. https://doi.org/10.1016/j.techsoc.2023.102208

Wang, L., Zhou, Y., & Chiao, B. (2023). Robots and firm innovation: Evidence from Chinese manufacturing. Journal of Business Research, 162, 113878. https://doi.org/10.1016/j.jbusres.2023.113878

Wang, Q., Liu, H., Ore, F., Wang, L., Hauge, J. B., & Meijer, S. (2023). Multi-actor perspectives on human robotic collaboration implementation in the heavy automotive manufacturing industry-A Swedish case study. Technology in Society, 72, 102165. https://doi.org/10.1016/j.techsoc.2022.102165

Westerlund, M. (2020). An ethical framework for smart robots. Technology Innovation Management Review, 10(1), 35-44. https://doi.org/10.22215/timreview/1312

Woitsch, R. (2020). Industrial digital environments in action: the OMiLAB innovation corner. In The Practice of Enterprise Modeling: 13th IFIP Working Conference, PoEM 2020, Riga, Latvia, November 25–27, 2020, Proceedings 13 (pp. 8-22). Springer International Publishing. https://doi.org/10.1007/978-3-030-63479-7_2

Wu, T. (2021). Digital project management: rapid changes define new working environments. Journal of Business Strategy. 43(5), 323-331. https://doi.org/10.1108/JBS-03-2021-0047

Yang, M., YUa, L., Wong, C., Mineo, C., Yang, E., Bomphray, I., ... & Brady, S. (2021). Comprehensive Simulation of Cooperative Robotic System for Advanced Composite Manufacturing: A Case Study. In Advances in Manufacturing Technology XXXIV (pp. 105-110). IOS Press. https://doi.org/10.3233/ATDE210021

Yang, S., Liu, F., Lu, J., & He, X. (2022). Does occupational injury promote industrial robot applications?. Technology in Society, 70, 101998. https://doi.org/10.1016/j.techsoc.2022.101998

Zhang, F., Zhang, Q., & Wu, H. (2023). Robot adoption and export performance: evidence from Chinese industrial firms. Journal of Manufacturing Technology Management. 34(6), 896-916. https://doi.org/10.1108/JMTM-09-2022-0315

Zheng, C., An, Y., Wang, Z., Qin, X., Eynard, B., Bricogne, M., ... & Zhang, Y. (2023). Knowledge-based engineering approach for defining robotic manufacturing system architectures. International Journal of Production Research, 61(5), 1436-1454. https://doi.org/10.1080/00207543.2022.2037025

Zwikael, O., Chih, Y. Y., & Meredith, J. R. (2018). Project benefit management: Setting effective target benefits. International Journal of Project Management, 36(4), 650-658. https://doi.org/10.1016/j.ijproman.2018.01.002

Published

2025-01-25

How to Cite

Rubim de Castro Souza, R., & Drebes Pedron, C. (2025). The benefits of robotics in manufacturing in the era of industry 4.0: a systematic literature review. Future Studies Research Journal: Trends and Strategies, 17(1), e900. https://doi.org/10.24023/FutureJournal/2175-5825/2025.v17i1.900

Issue

Section

Artigos / Articles

Similar Articles

1 2 3 > >> 

You may also start an advanced similarity search for this article.