Abstract
Effective planning and regulation of corporate activities rely heavily on robust information management systems, which play a critical role in ensuring organizational success through efficient, organized, and systematic handling of data. Such systems promote objective, data-driven decision-making across departments. This research project focuses on the development of an automated maintenance and defect reporting system for the ESCOM System Protection and Security (SPS) and Control sections. The primary objective is to enhance service delivery and operational efficiency by improving the accuracy, speed, and reliability of fault detection and maintenance tracking. To achieve this, the project introduces the Fault Analysis and Maintenance Optimization in Power System (FAMOPS), a software solution designed to streamline fault identification, automate maintenance schedules, and centralize system data. The methodology adopted includes requirement analysis through stakeholder interviews, system modeling using UML techniques, and iterative software development with continuous testing and validation. Key functionalities of the system include a user-friendly interface for real-time fault reporting, automated scheduling of maintenance tasks, and performance analytics for fault trend evaluation. The system was piloted within ESCOM’s SPS and Control sections, and the results demonstrated significant improvements in fault reporting time, maintenance response, and overall data accuracy. Fault resolution was faster, and reporting consistency improved, leading to better resource allocation and reduced system downtime. Additionally, the built-in analytics provided actionable insights that enabled ESCOM to make informed operational decisions. In conclusion, the FAMOPS system successfully meets its objectives by automating maintenance and defect reporting, improving operational workflows, and supporting strategic decision-making. Its implementation marks a critical step forward in modernizing ESCOM’s fault and maintenance management processes, ultimately contributing to increased reliability, transparency, and performance in the power system infrastructure.