Editorial — As novas tecnologias na manutenção industrial e na gestão de ativos

Crespo Marquez, A. (2024). Digital transformation in maintenance and asset management [Conference presentation]. In OMAINTEC—The 21 International Operations & Maintenance Conference in the Arab Countries, Cairo. https://omaintec.com/sitecontent/uploads/editor/Omaintec23cairo/Presentations/Day-01/Session-01/3-Adolfo%20Crespo%20Marquez.pdf

de Almeida Pais, J. E., Raposo, H. D. N., Farinha, J. T., Cardoso, A. J. M., & Marques, P. A. (2021). Optimizing the life cycle of physical assets through an integrated life cycle assessment method. Energies, 14(19), Article 19. https://doi.org/10.3390/en14196128

Gavish, N., Gutiérrez, T., Webel, S., Rodríguez, J., Peveri, M., Bockholt, U., & Tecchia, F. (2015). Evaluating virtual reality and augmented reality training for industrial maintenance and assembly tasks. Interactive Learning Environments, 23(6), 778–798. https://doi.org/10.1080/10494820.2013.815221

Gbadamosi, A.-Q., Oyedele, L. O., Delgado, J. M. D., Kusimo, H., Akanbi, L., Olawale, O., & Muhammed-Yakubu, N. (2021). IoT for predictive assets monitoring and maintenance: An implementation strategy for the UK rail industry. Automation in Construction, 122, 103486. https://doi.org/10.1016/j.autcon.2020.103486

GFMAM. (2024). Digital transformation in maintenance and asset management (English version, 1st ed.) [Book]. GFMAM—Global Forum on Maintenance and Asset Management. https://gfmam.org/publications/digital-transformation-maintenance-and-asset-management

Kok, A., Martinetti, A., & Braaksma, J. (2024). The impact of integrating information technology with operational technology in physical assets: A literature review. IEEE Access, 12, 111832–111845. https://doi.org/10.1109/ACCESS.2024.3442443

Liu, M., Liu, H.-F., & Lee, C.-C. (2024). An empirical study on the response of the energy market to the shock from the artificial intelligence industry. Energy, 288, 129655. https://doi.org/10.1016/j.energy.2023.129655

Liu, X.-W., Li, C.-Y., Dang, S., Wang, W., Qu, J., Chen, T., & Wang, Q.-L. (2022). Research on training effectiveness of professional maintenance personnel based on virtual reality and augmented reality technology. Sustainability, 14(21), Article 21. https://doi.org/10.3390/su142114351

Mitra, A., & Munir, K. (2019). Influence of big data in managing cyber assets. Built Environment Project and Asset Management, 9(4), 503–514. https://doi.org/10.1108/BEPAM-07-2018-0098

Resende, C., Folgado, D., Oliveira, J., Franco, B., Moreira, W., Oliveira-Jr, A., Cavaleiro, A., & Carvalho, R. (2021). TIP4.0: Industrial internet of things platform for predictive maintenance. Sensors, 21(14), Article 14. https://doi.org/10.3390/s21144676

Syafar, F., Koronios, A., & Gao, J. (2018). Mobile technologies in asset maintenance. In M. J. Zuo, L. Ma, J. Mathew, & H.-Z. Huang (Eds.), Engineering asset management 2016 (pp. 245–253). Springer International Publishing. https://doi.org/10.1007/978-3-319-62274-3_22

Teoh, Y. K., Gill, S. S., & Parlikad, A. K. (2023). IoT and fog-computing-based predictive maintenance model for effective asset management in Industry 4.0 using machine learning. IEEE Internet of Things Journal, 10(3), 2087–2094. https://doi.org/10.1109/JIOT.2021.3050441

Wijesinghe, S., Nanayakkara, I., Pathirana, R., Wickramarachchi, R., & Fernando, I. (2024). Impact of IoT integration on enterprise resource planning (ERP) systems: A comprehensive literature analysis. In 2024 International Research Conference on Smart Computing and Systems Engineering (SCSE) (Vol. 7, pp. 1–5). https://doi.org/10.1109/SCSE61872.2024.10550684

Zhang, Y., Khan, U., Lee, S., & Salik, M. (2019). The influence of management innovation and technological innovation on organization performance: A mediating role of sustainability. Sustainability, 11(2), Article 2. https://doi.org/10.3390/su11020495