Tecnologias da Indústria 4.0 que Evoluíram para a Indústria 5.0: Uma Revisão Sistemática da Literatura
DOI:
https://doi.org/10.22456/1983-8026.151516Palavras-chave:
Indústria 4.0, Indústria 5.0, Centralidade Humana, Tecnologais evoluídasResumo
A transição da Indústria 4.0 para a Indústria 5.0 marca uma mudança de um modelo orientado pela tecnologia para uma abordagem centrada no ser humano, enfatizando a criatividade, o bem-estar e a inclusão na manufatura. Este estudo realiza uma revisão sistemática da literatura para explorar como as tecnologias da Indústria 4.0 podem evoluir para se alinhar aos princípios da Indústria 5.0. Sessenta e dois artigos revisados por pares foram analisados para identificar tecnologias-chave, como robôs colaborativos (cobots), inteligência artificial (IA) e realidade aumentada (RA). Essas tecnologias fortalecem a colaboração entre humanos e máquinas e promovem a capacitação dos trabalhadores. Os resultados revelam que, quando reorientadas para as necessidades humanas, essas tecnologias podem melhorar a segurança, a inclusão e a satisfação nos ambientes industriais. Esta pesquisa contribui para compreender como a inovação tecnológica pode ser integrada a valores centrados nas pessoas, oferecendo subsídios para pesquisadores, profissionais e formuladores de políticas na transição para sistemas industriais mais sustentáveis e humanizados.
s.
Downloads
Referências
Alves, J., Lima, T. M., & Gaspar, P. D. (2023). Is industry 5.0 a human-centred approach? a systematic review. Processes, 11(1), 193.
Apraiz, A., Lasa, G., Montagna, F., Blandino, G., Triviño-Tonato, E., & Dacal-Nieto, A. (2023). An Experimental Protocol for Human Stress Investigation in Manufacturing Contexts: Its Application in the NO-STRESS Project. Systems, 11(9), 448.
Babkin, A., Shkarupeta, E., Kabasheva, I., Rudaleva, I., & Vicentiy, A. (2022). A Framework for Digital Development of Industrial Systems in the Strategic Drift to Industry 5.0. International Journal of Technology, 13(7).
Bajic, B., Suzic, N., Moraca, S., Stefanović, M., Jovicic, M., & Rikalovic, A. (2023). Edge computing data optimization for smart quality management: Industry 5.0 perspective. Sustainability, 15(7), 6032.
Brunner, S., Siebenbürger, M., Kühnel, K., & Bengler, K. (2024). Promoting human-centered manufacturing through Lean Ergonomics–a structural equation model for ergonomics and management data. Production & Manufacturing Research, 12(1), 2398086.
Brunzini, A., Peruzzini, M., & Barbadoro, P. (2023). Human-centred data-driven redesign of simulation-based training: a qualitative study applied on two use cases of the healthcare and industrial domains. Journal of Industrial Information Integration, 35, 100505.
Callari, T. C., Segate, R. V., Hubbard, E. M., Daly, A., & Lohse, N. (2024). An ethical framework for human-robot collaboration for the future people-centric manufacturing: A collaborative endeavour with European subject-matter experts in ethics. Technology in Society, 78, 102680.
Calzavara, M., Faccio, M., Granata, I., & Trevisani, A. (2024). Achieving productivity and operator well-being: a dynamic task allocation strategy for collaborative assembly systems in Industry 5.0. The International Journal of Advanced Manufacturing Technology, 134(7), 3201-3216.
Chan, H. L., & Choi, T. M. (2023). Logistics management for the future: the IJLRA framework. International Journal of Logistics Research and Applications, 1-19.
Colabianchi, S., Costantino, F., & Sabetta, N. (2024). Assessment of a large language model based digital intelligent assistant in assembly manufacturing. Computers in Industry, 162, 104129.
Coronado, E., Yamanobe, N., & Venture, G. (2023). NEP+: A Human-Centered Framework for Inclusive Human-Machine Interaction Development. Sensors, 23(22), 9136.
Coronado, E., Ueshiba, T., & Ramirez-Alpizar, I. G. (2024). A Path to Industry 5.0 Digital Twins for Human–Robot Collaboration by Bridging NEP+ and ROS. Robotics, 13(2), 28.
Cotta, W. A. A., Lopes, S. I., & Vassallo, R. F. (2023). Towards the cognitive factory in industry 5.0: From Concept to implementation. Smart Cities, 6(4), 1901-1921.
Denyer, D., & Tranfield, D. (2009). Producing a systematic review.
Dobaj, J., Riel, A., Macher, G., & Egretzberger, M. (2023). Towards DevOps for Cyber-Physical Systems (CPSs): Resilient Self-Adaptive Software for Sustainable Human-Centric Smart CPS Facilitated by Digital Twins. Machines, 11(10), 973.
Dornelles, J. D. A., Ayala, N. F., & Frank, A. G. (2023). Collaborative or substitutive robots? Effects on workers’ skills in manufacturing activities. International Journal of Production Research, 61(22), 7922-7955.
Du Plooy, H., Tommasi, F., Furlan, A., Nenna, F., Gamberini, L., Ceschi, A., & Sartori, R. (2024). A human-centered perspective on individual risks for digital innovation management: an integrative conceptual review. European Journal of Innovation Management.
Enrique, D. V., Marodin, G. A., Santos, F. B. C., & Frank, A. G. (2023). Implementing industry 4.0 for flexibility, quality, and productivity improvement: technology arrangements for different purposes. International Journal of Production Research, 61(20), 7001-7026.
Erro-Garcés, A., & Aramendia-Muneta, M. E. (2023). The role of human resource management practices on the results of digitalisation. From Industry 4.0 to Industry 5.0. Journal of Organizational Change Management, 36(4), 585-602.
European Commission, Directorate-General for Research and Innovation Breque, M., De Nul, L. and Petridis, A. (2021), Industry 5.0 : Towards a Sustainable, Human-Centric and Resilient European Industry, Publications Office of the European Union, Disponível em: https://data.europa.eu/doi/10.2777/308407. Acesso em: 27 Set. 2024.
Fan, J., Zheng, P., & Lee, C. K. (2023). A vision-based human digital twin modeling approach for adaptive human–robot collaboration. Journal of Manufacturing Science and Engineering, 145(12), 121002.
Fraga-Lamas, P., Barros, D., Lopes, S. I., & Fernández-Caramés, T. M. (2022). Mist and edge computing cyber-physical human-centered systems for industry 5.0: A cost-effective IoT thermal imaging safety system. Sensors, 22(21), 8500.
Gärtner, Q., Ronco, E., Cagliano, A. C., & Reinhart, G. (2023). Development of an approach for the holistic assessment of innovation projects in manufacturing including potential, effort, and risk using a systematic literature review and expert interviews. Applied Sciences, 13(5), 3221.
Gervasi, R., Mastrogiacomo, L., & Franceschini, F. (2023). An experimental focus on learning effect and interaction quality in human–robot collaboration. Production Engineering, 17(3), 355-380.
Ghobakhloo, M., Iranmanesh, M., Morales, M. E., Nilashi, M., & Amran, A. (2023). Actions and approaches for enabling Industry 5.0‐driven sustainable industrial transformation: A strategy roadmap. Corporate social responsibility and environmental management, 30(3), 1473-1494.
Górny, A. (2023). Developing Industry 5.0 to effectively harness production capacities. Management Systems in Production Engineering, 31(4), 456-463.
Gualtieri, L., Fraboni, F., Brendel, H., Pietrantoni, L., Vidoni, R., & Dallasega, P. (2024). Updating design guidelines for cognitive ergonomics in human-centred collaborative robotics applications: An expert survey. Applied Ergonomics, 117, 104246.
Hansen, A. K., Christiansen, L., & Lassen, A. H. (2024). Technology isn't enough for Industry 4.0: on SMEs and hindrances to digital transformation. International Journal of Production Research, 1-21.
Hein-Pensel, F., Winkler, H., Brückner, A., Wölke, M., Jabs, I., Mayan, I. J., ... & Zinke-Wehlmann, C. (2023). Maturity assessment for Industry 5.0: A review of existing maturity models. Journal of Manufacturing Systems, 66, 200-210.
Hermawati, S., Correa, R., Mohan, M., Lawson, G., & Houghton, R. (2024). Defining human-centricity in Industry 5.0 and assessing the readiness of ergonomics/human factors communities in UK. Ergonomics, 1-20.
Kans, M., & Campos, J. (2024). Digital Capabilities Driving Industry 4.0 and 5.0 Transformation: Insights from an Interview Study in the Maintenance Domain. Journal of Open Innovation: Technology, Market, and Complexity, 100384.
Katsampiris-Salgado, K., Dimitropoulos, N., Gkrizis, C., Michalos, G., & Makris, S. (2024). Advancing human-robot collaboration: Predicting operator trajectories through AI and infrared imaging. Journal of Manufacturing Systems, 74, 980-994.
Islam, F. B., Lee, J. M., & Kim, D. S. (2022). Smart factory floor safety monitoring using UWB sensor. IET Science, Measurement & Technology, 16(7), 412-425.
Lee, J., Bagheri, B., & Kao, H. A. (2015). A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing letters, 3, 18-23.
Leng, J., Sha, W., Wang, B., Zheng, P., Zhuang, C., Liu, Q., ... & Wang, L. (2022). Industry 5.0: Prospect and retrospect. Journal of Manufacturing Systems, 65, 279-295.
Li, S., Xie, H. L., Zheng, P., & Wang, L. (2024). Industrial metaverse: A proactive human-robot collaboration perspective. Journal of Manufacturing Systems, 76, 314-319.
Liboni, L. B., Cezarino, L. O., Jabbour, C. J. C., Oliveira, B. G., & Stefanelli, N. O. (2019). Smart industry and the pathways to HRM 4.0: implications for SCM. Supply Chain Management: An International Journal, 24(1), 124-146.
Lu, Y., Zheng, H., Chand, S., Xia, W., Liu, Z., Xu, X., ... & Bao, J. (2022). Outlook on human-centric manufacturing towards Industry 5.0. Journal of Manufacturing Systems, 62, 612-627.
Martínez-Gutiérrez, A., Díez-González, J., Perez, H., & Araújo, M. (2024). Towards industry 5.0 through metaverse. Robotics and Computer-Integrated Manufacturing, 89, 102764.
ALERNI, Matteo Meregalli; POMPONI, Vincenzo; KARIMI, Hamid Reza; NICORA, Matteo Lavit; DAO, Le Anh; MALOSIO, Matteo; ROVEDA, Loris. A framework for human–robot collaboration enhanced by preference learning and ergonomics. Robotics and Computer-Integrated Manufacturing.
Mourtzis, D., Angelopoulos, J., & Panopoulos, N. (2024). Unmanned Aerial Vehicle (UAV) path planning and control assisted by Augmented Reality (AR): The case of indoor drones. International Journal of Production Research, 62(9), 3361-3382.
Nagy, L., Abonyi, J., & Ruppert, T. (2024). Knowledge Graph-Based Framework to Support Human-Centered Collaborative Manufacturing in Industry 5.0. Applied Sciences, 14(8), 3398.
Nazarejova, J., Soltysova, Z., & Rudeichuk, T. (2024). Requirements and Barriers for Human-Centered SMEs. Sensors, 24(14), 4681.
Neunzig, C., Möllensiep, D., Kuhlenkötter, B., & Möller, M. (2024). ML Pro: digital assistance system for interactive machine learning in production. Journal of Intelligent Manufacturing, 35(7), 3479-3499.
Nguyen, H. N., Lasa, G., Iriarte, I., Atxa, A., Unamuno, G., & Galfarsoro, G. (2022). Human-centered design for advanced services: A multidimensional design methodology. Advanced Engineering Informatics, 53, 101720.
Nourmohammadi, A., Ng, A. H., Fathi, M., Vollebregt, J., & Hanson, L. (2023). Multi-objective optimization of mixed-model assembly lines incorporating musculoskeletal risks assessment using digital human modeling. CIRP Journal of Manufacturing Science and Technology, 47, 71-85.
Núñez-Merino, M., Maqueira-Marín, J. M., Moyano-Fuentes, J., & Martínez-Jurado, P. J. (2020). Information and digital technologies of Industry 4.0 and Lean supply chain management: a systematic literature review. International Journal of Production Research, 58(16), 5034-5061.
Oeij, P., Lenaerts, K., Dhondt, S., Van Dijk, W., Schartinger, D., Sorko, S., & Warhurst, C. (2024). A Conceptual Framework for Workforce Skills for Industry 5.0: Implications for Research, Policy and Practice. Journal of Innovation Management, 12(1), 205-233.
Orso, V., Ziviani, R., Bacchiega, G., Bondani, G., Spagnolli, A., & Gamberini, L. (2022). Employee-centric innovation: Integrating participatory design and video-analysis to foster the transition to Industry 5.0. Computers & Industrial Engineering, 173, 108661.
Özdemir, V., & Hekim, N. (2018). Birth of industry 5.0: Making sense of big data with artificial intelligence,“the internet of things” and next-generation technology policy. Omics: a journal of integrative biology, 22(1), 65-76.
Pasparakis, A., De Vries, J., & De Koster, R. (2023). Assessing the impact of human–robot collaborative order picking systems on warehouse workers. International Journal of Production Research, 61(22), 7776-7790.
Pereira, A. C., Alves, A. C., & Arezes, P. (2023). Augmented Reality in a Lean Workplace at Smart Factories: A Case Study. Applied Sciences, 13(16), 9120.
Pokorni, B., Popescu, D., & Constantinescu, C. (2022). Design of cognitive assistance systems in manual assembly based on quality function deployment. Applied Sciences, 12(8), 3887.
Rauch, E., Linder, C., & Dallasega, P. (2020). Anthropocentric perspective of production before and within Industry 4.0. Computers & Industrial Engineering, 139, 105644.
Rescio, G., Manni, A., Caroppo, A., Ciccarelli, M., Papetti, A., & Leone, A. (2023). Ambient and wearable system for workers’ stress evaluation. Computers in Industry, 148, 103905.
Ribeiro, V. B., Nakano, D., & Muniz Jr, J. (2024). The human resources and knowledge management integrated role in Industry 4.0/5.0: a Human-Centric Operations Management framework. Production, 34, e20240014.
Rožanec, J. M., Novalija, I., Zajec, P., Kenda, K., Tavakoli Ghinani, H., Suh, S., ... & Soldatos, J. (2023). Human-centric artificial intelligence architecture for industry 5.0 applications. International journal of production research, 61(20), 6847-6872.
Ruiz de la Torre, A., Borregan, J., Pikatza, N., & Rio, R. M. (2024). Integrating human-centric simulations in educational production lines: advancing ergonomics for industry 5.0 applications. International Journal of Production Management and Engineering, 12(2), 141-157.
Simeone, A., Grant, R., Ye, W., & Caggiano, A. (2023). A human-cyber-physical system for Operator 5.0 smart risk assessment. The International Journal of Advanced Manufacturing Technology, 129(5), 2763-2782.
Simeone, A., Fan, Y., Antonelli, D., Catalano, A. R., Priarone, P. C., & Settineri, L. (2024). Inclusive manufacturing: A contribution to assembly processes with human-machine reciprocal learning. CIRP Annals.
Tomelleri, F., Sbaragli, A., Picariello, F., & Pilati, F. (2024). Digital ergonomic assessment to enhance the physical resilience of human-centric manufacturing systems in Industry 5.0. Journal of Manufacturing Systems, 77, 246-265.
Tran, T. A., Ruppert, T., Eigner, G., & Abonyi, J. (2023). Assessing human worker performance by pattern mining of Kinect sensor skeleton data. Journal of Manufacturing Systems, 70, 538-556.
Trstenjak, M., Gregurić, P., Janić, Ž., & Salaj, D. (2023). Integrated Multilevel Production Planning Solution According to Industry 5.0 Principles. Applied Sciences, 14(1), 160.
Turner, C. J., & Garn, W. (2022). Next generation DES simulation: A research agenda for human centric manufacturing systems. Journal of industrial information integration, 28, 100354.
Xu, X., Lu, Y., Vogel-Heuser, B., & Wang, L. (2021). Industry 4.0 and Industry 5.0—Inception, conception and perception. Journal of manufacturing systems, 61, 530-535.
Van Erp, T., Carvalho, N. G. P., Gerolamo, M. C., Gonçalves, R., Rytter, N. G. M., & Gladysz, B. (2024). Industry 5.0: A new strategy framework for sustainability management and beyond. Journal of Cleaner Production, 461, 142271.
Van Oudenhoven, B., Van de Calseyde, P., Basten, R., & Demerouti, E. (2023). Predictive maintenance for industry 5.0: Behavioural inquiries from a work system perspective. International Journal of Production Research, 61(22), 7846-7865.
Villani, V., Picone, M., Mamei, M., & Sabattini, L. (2024). A Digital Twin Driven Human-Centric Ecosystem for Industry 5.0. IEEE Transactions on Automation Science and Engineering.
Vukelić, Ž., Cajner, H., & Barić, G. (2024). Research Model of the Degree of Technological Humanism in Manufacturing Companies in the Transformation towards Industry 5.0. Tehnički glasnik, 18(3), 410-417.
Yasue, N., Mahmoodi, E., Zúñiga, E. R., & Fathi, M. (2025). Analyzing resilient performance of workers with multiple disturbances in production systems. Applied Ergonomics, 122, 104391.
Zhang, C., Wang, Z., Zhou, G., Chang, F., Ma, D., Jing, Y., ... & Zhao, D. (2023). Towards new-generation human-centric smart manufacturing in Industry 5.0: A systematic review. Advanced Engineering Informatics, 57, 102121.
