Articles | Open Access | DOI: https://doi.org/10.37547/tajas/Volume07Issue07-06

Transforming Preventive Maintenance Operations Through Oracle Cloud Maintenance Automation

Srinivasan Narayanan , Milwaukee, Wisconsin, USA

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.

Keywords

Oracle Cloud Maintenance, Maintenance Automation, Preventive Maintenance, Maintenance Practices

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Srinivasan Narayanan. (2025). Transforming Preventive Maintenance Operations Through Oracle Cloud Maintenance Automation. The American Journal of Applied Sciences, 7(07), 48–66. https://doi.org/10.37547/tajas/Volume07Issue07-06