Published

2025-08-01

Cloud Computing as an Industry 5.0 Enabling Technology

La computación en la nube como tecnología fundamental en Industria 5.0

DOI:

https://doi.org/10.15446/ing.investig.112793

Keywords:

Cloud Computing, new production paradigms, modern applications and services, sustainability (en)
tecnología en la nube, nuevos paradigmas de producción, aplicaciones y servicios, sostenibilidad (es)

Downloads

Authors

In the year 2021, the European Commission announced Industry 5.0 by publishing a document titled Industry 5.0: Towards a sustainable, human-centric and resilient European industry, in an attempt to find solutions to the numerous industrial challenges of today. However, Industry 5.0 is still in its early stages, and industries are facing issues in implementing services that meet its requirements. In addition, many companies hesitate to adopt Industry 5.0 services and applications, as they consider that it requires a high initial investment. However, cloud computing offers a solution to this challenge by changing the way in which services are implemented, allowing companies of any size to build powerful and scalable services. Hence, the contribution of this paper lies in the proposal of a cloud architecture and a demonstration of the way in which cloud computing is an enabling technology for Industry 5.0 services, showcasing its benefits through a use case. Through cloud computing, researchers will be able to develop services that meet Industry 5.0 requirements, such as sustainability, resilience, and human-centricity, while doing so at affordable costs.

En el año 2021, la Comisión Europea anunció la Industria 5.0 mediante la publicación de un documento titulado Industry 5.0: Towards a sustainable, human-centric and resilient European industry, en un intento por encontrar soluciones a los numerosos desafíos industriales de la actualidad. Sin embargo, la Industria 5.0 aún se encuentra en sus primeras etapas, y las industrias enfrentan dificultades para implementar servicios que cumplan con sus requisitos. Además, muchas empresas dudan en adoptar los servicios y aplicaciones de la Industria 5.0, pues consideran que requieren una alta inversión inicial. No obstante, la computación en la nube ofrece una solución a este desafío al cambiar la forma en que se implementan los servicios, lo que permite a empresas de cualquier tamaño construir servicios potentes y escalables. En vista de lo anterior, la contribución de este artículo radica en la propuesta de una arquitectura en la nube y en la demostración de la manera en que la computación en la nube es una tecnología que habilita los servicios de la Industria 5.0, mostrando sus beneficios a través de un caso de uso. Mediante la computación en la nube, los investigadores podrán desarrollar servicios que cumplan con los requisitos de la Industria 5.0, tales como sostenibilidad, resiliencia y un enfoque centrado en el ser humano —lográndolo, además, con costos asequibles.

References

[1] B. Maija, D. Lars, and P. Athanasios, "Industry 5.0: Towards a sustain-able, human-centric and resilient European industry," 2021. [Online]. Available: https://doi.org/10.2777/308407

[2] A. Tóth, L. Nagy, R. Kennedy, B. Bohu, J. Abonyi, and T. Ruppert, "The human-centric Industry 5.0 collaboration architecture," MethodsX, vol. 10, pp. 1-8, 2023. https://doi.org/10.1016/j.mex.2023.102260 DOI: https://doi.org/10.1016/j.mex.2023.102260

[3] X. Xu, Y. Lu, B. Vogel-Heuser, and L. Wang, "Industry 4.0 and Industry 5.0—Inception, conception and perception," J. Manuf. Syst., vol. 61, pp. 530-535, 2021. https://doi.org/10.1016/j.jmsy.2021.10.006 DOI: https://doi.org/10.1016/j.jmsy.2021.10.006

[4] Z. Liu, P. Sampaio, G. Pishchulov, N. Mehandjiev, S. Cisneros-Cabrera, A. Schirrmann, F. Jiru, and N. Bnouhanna, "The architectural design and implementation of a digital platform for Industry 4.0 SME collaboration," Comput. Ind., vol. 140, pp. 1-12, 2022. https://doi.org/10.1016/j.compind.2022.103623 DOI: https://doi.org/10.1016/j.compind.2022.103623

[5] C. Belman-Lopez, J. Jiménez-García, and S. Hernández-González, "Comprehensive analysis of design principles in the context of Industry 4.0.," Rev. Iberoam. Autom. Inform. Ind., vol. 17, no. 4, pp. 432-447, 2020. https://doi.org/10.4995/riai.2020.12579 DOI: https://doi.org/10.4995/riai.2020.12579

[6] J.-E. Franco, J.-A. Jiménez, S. Hernández, M.-G. Bravo, K.-A. Cama-rillo, and C.-E. Belman, "Directive methodology of the 4 phases for the improvement and migration towards Industry 4.0," Dyna, vol. 98, no. 1, pp. 1-6, 2023. https://doi.org/10.6036/10573 DOI: https://doi.org/10.6036/10573

[7] B. Alojaiman, "Technological Modernizations in the Industry 5.0 Era: A Descriptive Analysis and Future Research Directions," Processes, vol. 11, no. 5, pp. 1-16, 2023. https://doi.org/10.3390/pr11051318 DOI: https://doi.org/10.3390/pr11051318

[8] United States Environmental Protection Agency, "Sustainable Manufac-turing," January 2023. [Online]. Available: https://www.epa.gov/sustainability/sustainable-manufacturing

[9] J. Carnell, Spring Microservices in Action. New York, NY, USA: Manning Publications Co., 2017.

[10] E. Y. Nakagawa, P. O. Antonino, F. Schnicke, R. Capilla, T. Kuhn, and P. Liggesmeyer, "Industry 4.0 reference architectures: State of the art and future trends," Comput. Ind. Eng., vol. 158, pp. 1-13, 2021. https://doi.org/10.1016/j.cie.2021.107241 DOI: https://doi.org/10.1016/j.cie.2021.107241

[11] M. Karatas, L. Eriskin, M. Deveci, D. Pamucar, and H. Garg, "Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives," Expert Syst. Appl., vol. 200, pp. 1-13, 2022. https://doi.org/10.1016/j.eswa.2022.116912 DOI: https://doi.org/10.1016/j.eswa.2022.116912

[12] M. Ghobakhloo, M. Iranmanesh, M.-L. Tseng, A. Grybauskas, A. Stefanini, and A. Amran, "Behind the definition of Industry 5.0: a systematic review of technologies, principles, components, and values," J. Ind. Prod. Eng., vol. 40, no. 6, pp. 432–447, 2023. https://doi.org/10.1080/21681015.2023.221670. DOI: https://doi.org/10.1080/21681015.2023.2216701

[13] Z. Lv, "Digital Twins in Industry 5.0," Res., vol. 2023, pp. 1-16, 2023. https://doi.org/10.34133/research.0071 DOI: https://doi.org/10.34133/research.0071

[14] J. Miao, Z. Wang, M. Wang, S. Garg, M. S. Hossain, and J. J. Ro-drigues, "Secure and efficient communication approaches for Industry 5.0 in edge computing," Comput. Netw., vol. 245, pp. 1-12, 2024. https://doi.org/10.1016/j.comnet.2024.110244 DOI: https://doi.org/10.1016/j.comnet.2024.110244

[15] S. Garrido, J. Muniz Jr., and V. B. Ribeiro, "Operations Management, Sustainability & Industry 5.0: A critical analysis and future agenda," Cleaner Logist. Supply Chain, vol. 5, pp. 1-12, 2024. https://doi.org/10.1016/j.clscn.2024.100141 DOI: https://doi.org/10.1016/j.clscn.2024.100141

[16] S. Zeb, A. Mahmood, S. Ali Khowaja, K. Dev, S. A. Hassan, M. Gidlund, and P. Bellavista, "Towards defining industry 5.0 vision with intelligent and softwarized wireless network architectures and services: A survey," J. Netw. Comput. Appl., vol. 216, pp. 1-42, 2024. https://doi.org/10.1016/j.jnca.2023.103796 DOI: https://doi.org/10.1016/j.jnca.2023.103796

[17] R. Liu, X. Yu, Y. Yuan, and Y. Ren, "BTDSI: A blockchain-based trusted data storage mechanism for Industry 5.0," J. King Saud Univ. – Comput. Inf. Sci., vol. 35, pp. 1-9, 2023. https://doi.org/10.1016/j.jksuci.2023.101674 DOI: https://doi.org/10.1016/j.jksuci.2023.101674

[18] C. E. Belman-López, J. A. Jiménez-García, J. A. Vázquez-Lopez, and K. A. Camarillo-Gómez, "Design of an architecture for systems and applications in Industry 4.0 based on cloud computing and data analy-sis.," Rev. Iberoam. Autom. Inform. Ind., vol. 19, pp. 1-13, 2022. https://doi.org/10.4995/riai.2022.17791. DOI: https://doi.org/10.4995/riai.2022.17791

[19] H. Pallathadka, G. Sajja, K. Phasinam, M. Ritonga, M. Naved, R. Bansal, and J. Quiñonez-Choquecota, "An investigation of various applications and related challenges in cloud computing," Mater. Today: Proc., vol. 49, pp. 1-5, 2021. https://doi.org/10.1016/j.matpr.2021.11.383 DOI: https://doi.org/10.1016/j.matpr.2021.11.383

[20] F. Tao, Q. Qi, L. Wang, and A. Nee, "Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Corre-lation and Comparison," Eng., vol. 5, no. 4, pp. 653–661, 2019. https://doi.org/10.1016/j.eng.2019.01.014 DOI: https://doi.org/10.1016/j.eng.2019.01.014

[21] S. Su, R. Y. Zhong, Y. Jiang, J. Song, Y. Fu, and H. Cao, "Digital twin and its potential applications in construction industry: State-of-art review and a conceptual framework," Adv. Eng. Inform., vol. 56, pp. 1-7, 2023. https://doi.org/10.1016/j.aei.2023.102030 DOI: https://doi.org/10.1016/j.aei.2023.102030

[22] C. E. Belman López, "Real-time event-based platform for the develop-ment of digital twin applications," Int. J. Adv. Manuf. Technol., vol. 117, pp. 1-11, 2021. https://doi.org/10.1007/s00170-021-07490-9 DOI: https://doi.org/10.1007/s00170-021-07490-9

[23] D. Piromalis and A. Kantaros, "Digital Twins in the Automotive ndustry: The Road toward Physical-Digital Convergence,"Appl. Syst. Innov., vol. 5, no. 4, pp. 1-5, 2022. https://doi.org/10.3390/asi5040065 DOI: https://doi.org/10.3390/asi5040065

[24] R. Herrero, "REST and EDA architectures in IoT actuation," Internet Things Cyber-Phys. Syst., vol. 5, pp. 205-212, 2023. https://doi.org/10.1016/j.iotcps.2023.05.002 DOI: https://doi.org/10.1016/j.iotcps.2023.05.002

[25] A. Mishra, Machine Learning in the AWS Cloud, Indianapolis, IN, USA: John Wiley & Sons, Inc, 2019. DOI: https://doi.org/10.1002/9781119556749

[26] Roboflow, "Fall Detection Computer Vision Project," 2023. [Online]. Available: https://universe.roboflow.com/roboflow-universe-projects/fall-detection-ca3o8

[27] G. Jocher et al., "ultralytics/yolov5: v6.2," 2022. [Online]. Available: https://doi.org/10.5281/zenodo.5563715

[28] TIBCO, "what-is-serverless," 2023. [Online]. Available: https://www.tibco.com/es/reference-center/what-is-serverless

[29] D. Poccia, AWS Lambda in Action, Manning, 2016.

[30] L.D. Xu and L. Duan, "Big data for cyber physical systems in industry 4.0: a survey", " Enterp. Inf. Syst. ", vol. 12, pp. 1-23, 2018. https://doi.org/10.1080/17517575.2018.1442934 DOI: https://doi.org/10.1080/17517575.2018.1442934

[31] W. Tian and Y. Zhao, Optimized Cloud Resource Management and Scheduling, Morgan Kaufmann, 2015. https://doi.org/10.1016/C2013-0-13415-0 DOI: https://doi.org/10.1016/C2013-0-13415-0

[32] V. Kakani, V. H. Nguyen, B. P. Kumar, H. Kim, and V. R. Pasu-puleti, "A critical review on computer vision and artificial intelligence in food industry," J. Agric. Food Res., vol. 2, pp. 1-12, 2020. https://doi.org/10.1016/j.jafr.2020.100033 DOI: https://doi.org/10.1016/j.jafr.2020.100033

[33] AWS, "Regions y Availability Zones," 2023. [Online]. Available: https://aws.amazon.com/es/about-aws/global-infrastructure/regions_az/

[34] Amazon, "Amazon Sustainability," 2023. [Online]. Available: https://sustainability.aboutamazon.com/environment/the-cloud?energyType=true

[35] 451 Research, "The carbon reduction opportunity of moving to Amazon Web Services," 2019.

[36] AWS, "AWS customer carbon footprint tool," 2023. [Online]. Availa-ble: https://aws.amazon.com/es/aws-cost-management/aws-customer-carbon-footprint-tool/

[37] L. M. Ali and Z. Zhang, "The YOLO Framework: A Comprehensive Review of Evolution, Applications, and Benchmarks in Object Detec-tion," Comput., vol. 13, no. 12, pp. 1–25, 2024. https://doi.org/10.3390/computers13120336 DOI: https://doi.org/10.3390/computers13120336

[38] A. B. Youssef and I. Mejri, "Linking digital technologies to sustaina-bility through Industry 5.0: A bibliometric Analysis," Sustainability, vol. 15, no. 9, pp. 1–20, 2023. https://doi.org/10.3390/su15097465 DOI: https://doi.org/10.3390/su15097465

[39] A. Adel and N. H. Alani, "Human-Centric collaboration and Industry 5.0 framework in smart cities and communities: Fostering sustainable development goals 3, 4, 9, and 11 in Society 5.0," Smart Cities, vol. 7, no. 4, pp. 1–18, 2024. https://doi.org/10.3390/smartcities7040068 DOI: https://doi.org/10.3390/smartcities7040068

[40] V. Fula and P. Moreno, "Wrist-based fall detection: Towards generaliza-tion across datasets," Sensors, vol. 24, no. 5, pp. 1–15, 2024. https://doi.org/10.3390/s24051679 DOI: https://doi.org/10.3390/s24051679

[41] M. Ghobakhloo, M. Iranmanesh, M. Fathi, A. Rejeb, B. Foroughi, and D. Nikbin , "Beyond Industry 4.0: a systematic review of Industry 5.0 technologies and implications for social, environmental and economic sustainability," Asia-Pac. J. Bus. Adm., vol. 16, no. 2, pp. 1–20, 2024. https://doi.org/10.1108/APJBA-08-2023-0384 DOI: https://doi.org/10.1108/APJBA-08-2023-0384

[42] A. Jiménez Rios, M. L. Petrou, R. Ramírez , V. Plevris, and M. Nogal, "Industry 5.0, towards an enhanced built cultural heritage con-servation practice," J. Build. Eng., vol. 82, pp. 1–12, 2024. https://doi.org/10.1016/j.jobe.2024.110542 DOI: https://doi.org/10.1016/j.jobe.2024.110542

[43] R. Kaur and S. Singh, "A comprehensive review of object detection with deep learning," Digit. Signal Process., vol. 136, pp. 1–20, 2023. https://doi.org/10.1016/j.dsp.2022.103812 DOI: https://doi.org/10.1016/j.dsp.2022.103812

[44] R. Khanam and M. Hussain, "What is YOLOv5: A deep look into the internal features of the popular object detector," 2024. [Online]. Availa-ble: https://arxiv.org/html/2407.20892v1

How to Cite

APA

Belman López, C. E. (2025). Cloud Computing as an Industry 5.0 Enabling Technology. Ingeniería e Investigación, 45(2), e112793. https://doi.org/10.15446/ing.investig.112793

ACM

[1]
Belman López, C.E. 2025. Cloud Computing as an Industry 5.0 Enabling Technology. Ingeniería e Investigación. 45, 2 (Aug. 2025), e112793. DOI:https://doi.org/10.15446/ing.investig.112793.

ACS

(1)
Belman López, C. E. Cloud Computing as an Industry 5.0 Enabling Technology. Ing. Inv. 2025, 45, e112793.

ABNT

BELMAN LÓPEZ, C. E. Cloud Computing as an Industry 5.0 Enabling Technology. Ingeniería e Investigación, [S. l.], v. 45, n. 2, p. e112793, 2025. DOI: 10.15446/ing.investig.112793. Disponível em: https://revistas.unal.edu.co/index.php/ingeinv/article/view/112793. Acesso em: 10 nov. 2025.

Chicago

Belman López, Carlos Eduardo. 2025. “Cloud Computing as an Industry 5.0 Enabling Technology”. Ingeniería E Investigación 45 (2):e112793. https://doi.org/10.15446/ing.investig.112793.

Harvard

Belman López, C. E. (2025) “Cloud Computing as an Industry 5.0 Enabling Technology”, Ingeniería e Investigación, 45(2), p. e112793. doi: 10.15446/ing.investig.112793.

IEEE

[1]
C. E. Belman López, “Cloud Computing as an Industry 5.0 Enabling Technology”, Ing. Inv., vol. 45, no. 2, p. e112793, Aug. 2025.

MLA

Belman López, C. E. “Cloud Computing as an Industry 5.0 Enabling Technology”. Ingeniería e Investigación, vol. 45, no. 2, Aug. 2025, p. e112793, doi:10.15446/ing.investig.112793.

Turabian

Belman López, Carlos Eduardo. “Cloud Computing as an Industry 5.0 Enabling Technology”. Ingeniería e Investigación 45, no. 2 (August 1, 2025): e112793. Accessed November 10, 2025. https://revistas.unal.edu.co/index.php/ingeinv/article/view/112793.

Vancouver

1.
Belman López CE. Cloud Computing as an Industry 5.0 Enabling Technology. Ing. Inv. [Internet]. 2025 Aug. 1 [cited 2025 Nov. 10];45(2):e112793. Available from: https://revistas.unal.edu.co/index.php/ingeinv/article/view/112793

Download Citation

CrossRef Cited-by

CrossRef citations0

Dimensions

PlumX

Article abstract page views

229

Downloads

Download data is not yet available.