A Hybrid Architecture of Digital Twin with Decision Support Layer for Industrial Maintenance-Reference-Cited by-同舟云学术

A Hybrid Architecture of Digital Twin with Decision Support Layer for Industrial Maintenance

Published:2023 Issue: Volume: Page:584-591
ISSN:2195-4356
Container-title:Lecture Notes in Mechanical Engineering
language:
Short-container-title:

Author:

Santos Cleiton Ferreira dos,Kurscheidt Netto Rolando Jacyr,Kondo Ricardo Eiji,Loures Eduardo de Freitas Rocha,Santos Eduardo Alves Portela,Szejka Anderson Luis

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-17629-6_61

Reference27 articles.

1. Errandonea, I., Beltrán, S., Arrizabalaga, S.: Digital twin for maintenance: a literature review. Comput. Ind. 123 (2020). https://doi.org/10.1016/j.compind.2020.103316

2. Singh, M., Fuenmayor, E., Hinchy, E.P., Qiao, Y., Murray, N., Devine, D.: Digital twin: origin to future. Applied System Innovation 4(2), 36 (2021). https://doi.org/10.3390/asi4020036

3. Bokrantz, J., Skoog, A., Berlin, C., Wuest, T., Stahre, J.: Smart maintenance: an empirically grounded conceptualization. Int. J. Prod. Econ. 223 (2019). https://doi.org/10.1016/j.ijpe.2019.107534

4. Bousdekis, A., Lepenioti, K., Apostolou, D., Mentzas, G.: A review of data-driven decision-making methods for industry 4.0 maintenance applications. Electronics (2021). https://doi.org/10.3390/electronics10070828

5. Bokrantz, J., Skoogh, A., Berlin, C., Wuest, T., Stahre, J.: Smart maintenance: a research agenda for industrial maintenance management. Int. J. Prod. Econ. 224 (2019). https://doi.org/10.1016/j.ijpe.2019.107547

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