SCADA–CMMS Integration to Reduce Corrective-Maintenance Latency in Gas Transmission Operations

Abstract

The integration of Supervisory Control and Data Acquisition (SCADA) systems with Computerized Maintenance Management Systems (CMMS) represents a pivotal advancement in modern gas transmission operations. This study investigates how SCADA–CMMS interoperability reduces corrective-maintenance latency and enhances operational efficiency by bridging the gap between real-time monitoring and structured maintenance management. The research employs a systems-based approach, examining data acquisition protocols, middleware integration, workflow automation, and predictive analytics to evaluate performance improvements in Mean Time to Repair (MTTR), Mean Time Between Failures (MTBF), and overall system availability. Quantitative findings demonstrate that automation of alarm triggers, real-time work order generation, and feedback loops lead to significant reductions in maintenance response times and operational downtime. Furthermore, the study highlights the role of predictive analytics and condition monitoring in enabling proactive maintenance strategies, optimizing asset reliability, and supporting compliance with safety and regulatory frameworks. The results underscore that effective SCADA–CMMS integration transitions maintenance management from reactive to predictive paradigms, enabling organizations to align maintenance efficiency with asset performance and sustainability goals. Implementation challenges such as cybersecurity risks, data integrity issues, and change management complexities are also discussed, alongside recommendations for leveraging artificial intelligence and digital twin technologies to further enhance predictive maintenance capabilities. Overall, this study concludes that the integration of SCADA and CMMS systems provides a robust foundation for digital transformation in gas transmission, fostering intelligent, reliable, and cost-effective maintenance ecosystems.