Transforming Preventive Maintenance Operations Through Oracle Cloud Maintenance Automation
Srinivasan Narayanan , Milwaukee, Wisconsin, USAAbstract
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.
Keywords
Oracle Cloud Maintenance, Maintenance Automation, Preventive Maintenance, Maintenance Practices
References
. Petersdorff, H. A. (2013).Identifying and quantifying maintenance improvement opportunities in physcial asset management.
. Lutchman, R. (2006).Optimized Maintenance, a Roadmap to Excellence. https://doi.org/10.2175/193864706783775874
. 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
. Velmurugan, R. S., & Dhingra, T. (2021b).Asset Maintenance Strategic Plan for Operational Excellence. https://doi.org/10.1007/978-3-030-74154-9_6
. 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
. Smith, A. M., & Hinchcliffe, G. R. (2004).Preventive Maintenance—Definition and Structure. https://doi.org/10.1016/B978-075067461-4/50005-8
. Elwerfalli, A. A. (2012).Preventive Maintenance Scheduling.
. Velmurugan, R. S., & Dhingra, T. (2021a).Asset Maintenance Framework and Benchmarking. https://doi.org/10.1007/978-3-030-74154-9_4
. 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
. Duffuaa, S. O., & Raouf, A. (2015).Maintenance Work Measurement. https://doi.org/10.1007/978-3-319-19803-3_4
. (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
. 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
. 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
. (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.
. Saini, N., Yadav, A. L., & Rahman, A. (2024).Cloud Based Predictive Maintenance System. https://doi.org/10.1109/icrito61523.2024.10522398
. Xiao, G., Biller, S., Chang, Q., Arinez, J., Clinansmith, R. P., & Kleeck, K. V. (2011).Automated work order generation for maintenance.
. Nucleus Research. (2023). ROI of Cloud ERP. Retrieved from https://www.nucleusresearch.com/research/roi-of-cloud-erp
. Oracle. (2023). Oracle Cloud Maintenance Solution. Retrieved from https://www.oracle.com/cloud/cloud-applications.html
. Zhang, H., Yang, D., & Zhang, Z. (2016).Operation and maintenance automation system and method.
. 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.
. 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
. 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.
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