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Applied Sciences OPEN ACCESS

Transforming Preventive Maintenance Operations Through Oracle Cloud Maintenance Automation

Srinivasan Narayanan
Milwaukee, Wisconsin, USA
DOI Crossref DOI 10.37547/tajas/Volume07Issue07-06
tajas 2025
VOL. 7 / NO. 07 JULY
FULL TEXT PP. 48-66
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VOLUME 7
ISSUE 07
YEAR 2025
PAGES 48-66
RESEARCH OVERVIEW

Abstract

This paper examines the transformative role of Oracle Cloud Maintenance Automation in modernizing preventive maintenance practices across organizations. By automating asset maintenance workflows, minimizing manual interventions, and incorporating predictive technologies, Oracle Cloud facilitates a shift from reactive to proactive maintenance strategies. Key capabilities—including asset tracking, maintenance forecasting, and work order automation—contribute to enhanced asset reliability, operational efficiency, and cost optimization. The study highlights critical configurations and best practices for establishing an effective maintenance program using Oracle Cloud, positioning it as a cornerstone for asset lifecycle management and long-term operational success. Real-time analytics and data-driven decision-making further align maintenance activities with broader organizational objectives, promoting a culture of continuous improvement. Findings indicate that Oracle Cloud Maintenance Automation significantly improves maintenance resource allocation, reduces unplanned downtime, and increases equipment reliability. As cloud-based solutions become central to maintenance strategies, their adoption reflects a broader industry trend toward maximizing availability, minimizing lifecycle costs, and driving strategic alignment between maintenance and business goals. This transition empowers organizations to enhance productivity, ensure high asset performance, and achieve sustainable competitive advantage.

RESEARCH TOPICS

Keywords

Oracle Cloud Maintenance Maintenance Automation Preventive Maintenance Maintenance Practices

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References

  1. . Petersdorff, H. A. (2013).Identifying and quantifying maintenance improvement opportunities in physcial asset management.
  2. . Lutchman, R. (2006).Optimized Maintenance, a Roadmap to Excellence. https://doi.org/10.2175/193864706783775874
  3. . Chang, Y. S., Choi, H. C., Sung, S. Y., & Mun, S. J. (2016, July 1). A Study of Cloud Based Maintenance System Architecture for Warehouse Automation Equipment.International Conference on Advanced Applied Informatics. https://doi.org/10.1109/IIAI-AAI.2016.190
  4. . Velmurugan, R. S., & Dhingra, T. (2021b).Asset Maintenance Strategic Plan for Operational Excellence. https://doi.org/10.1007/978-3-030-74154-9_6
  5. . Ariansyah, D., & Pardamean, B. (2022, December 13).Enhancing Interoperability of Digital Twin in the Maintenance phase of Lifecycle. https://doi.org/10.1109/ICITISEE57756.2022.10057666
  6. . Smith, A. M., & Hinchcliffe, G. R. (2004).Preventive Maintenance—Definition and Structure. https://doi.org/10.1016/B978-075067461-4/50005-8
  7. . Elwerfalli, A. A. (2012).Preventive Maintenance Scheduling.
  8. . Velmurugan, R. S., & Dhingra, T. (2021a).Asset Maintenance Framework and Benchmarking. https://doi.org/10.1007/978-3-030-74154-9_4
  9. . Lang, D., Grunau, S., Wisniewski, L., & Jasperneite, J. (2019, July 1). Utilization of the Asset Administration Shell to Support Humans During the Maintenance Process.International Conference on Industrial Informatics. https://doi.org/10.1109/INDIN41052.2019.8972236
  10. . Duffuaa, S. O., & Raouf, A. (2015).Maintenance Work Measurement. https://doi.org/10.1007/978-3-319-19803-3_4
  11. . (N.d.). Cloud/Cloud Applications/Supply Chain and Manufacturing/25B/Using Maintenance. Retrieved May 24, 2025, from https://docs.oracle.com/en/cloud/saas/supply-chain-and-manufacturing/25b/faumm/overview-of-maintenance-programs.html#Program-Modeling
  12. . Swart, P. D., & Vlok, P. J. (2015).Failure Statistics: Budgeting Preventative Maintenance Activities Using Forecasted Work Orders. https://doi.org/10.1007/978-3-319-15536-4_27
  13. . Arts, J. J., & Basten, R. J. I. (2018).Design of multi-component periodic maintenance programs with single-component models. https://doi.org/10.1080/24725854.2018.1437301
  14. . (2024, September 26). Kovaion. https://www.kovaion.com/blog/all-you-need-to-know-about-oracle-redwood/#:~:text=Oracle%20Redwood%20is%20a%20revolutionary,simplicity%2C%20elegance%2C%20and%20functionality.
  15. . Saini, N., Yadav, A. L., & Rahman, A. (2024).Cloud Based Predictive Maintenance System. https://doi.org/10.1109/icrito61523.2024.10522398
  16. . Xiao, G., Biller, S., Chang, Q., Arinez, J., Clinansmith, R. P., & Kleeck, K. V. (2011).Automated work order generation for maintenance.
  17. . Nucleus Research. (2023). ROI of Cloud ERP. Retrieved from https://www.nucleusresearch.com/research/roi-of-cloud-erp
  18. . Oracle. (2023). Oracle Cloud Maintenance Solution. Retrieved from https://www.oracle.com/cloud/cloud-applications.html
  19. . Zhang, H., Yang, D., & Zhang, Z. (2016).Operation and maintenance automation system and method.
  20. . Thokala, R. (2025, January 13).Enhancing Oracle Fusion Applications with Oracle APEX: Getting Started. https://blogs.oracle.com/apex/post/enhancing-oracle-fusion-applications-with-oracle-apex-getting-started#:~:text=Oracle%20APEX%20is%20the%20world’s%20most%20popular,be%20deployed%20anywhere%20%E2%80%93%20cloud%20or%20on%2Dpremises.&text=With%20APEX%2024.2%2C%20the%20Fusion%20Integrated%20Starter,with%20your%20database%20where%20APEX%20is%20hosted.
  21. . Crespo Márquez, A., & Gupta, J. N. D. (2004).Modern Maintenance Management for Enhancing Organizational Efficiency. https://doi.org/10.4018/978-1-59140-160-5.CH019
  22. . Bjorling, S.-E., Baglee, D., Galar, D., & Singh, S. (2013, July 27). Maintenance Knowledge Management with Fusion of CMMS and CM.International Conference on Data Mining.