JSW Steel PlantOS Reliability Improvement Case Study

This case study details the implementation of PlantOS by JSW Steel to enhance reliability across its multi-plant operations. The initiative began in India in 2021, focusing on validating predictive insights and building trust among maintenance and production teams. Key outcomes included a significant reduction in unplanned downtime, which increased from 18,367 hours to 36,108 hours within a year. The study outlines the establishment of a closed-loop reliability model, where predictive insights lead to actionable prescriptions that are validated through real outcomes. Notable solutions included predictive maintenance for critical equipment and optimization of crane applications. The results demonstrated a mean time between failures (MTBF) of 6,917 hours and a 2.5% increase in utilization rates in the mills section. The partnership with Infinite Uptime fostered a data-driven reliability culture across the enterprise, emphasizing the importance of co-innovation in tackling complex operational challenges.