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@article{179629,
        author = {Utsav Anand and Ashwini Gowda H.B.},
        title = {Study of Reliability Improvement of Run Out Table in TSCR},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {8723-8727},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179629},
        abstract = {This paper presents a systematic investigation into reliability enhancement strategies for the Run Out Table (ROT) system within Tata Steel's Thin Slab Casting and Rolling (TSCR) facility. As the critical final stage in the hot rolling process, the ROT's controlled cooling functionality directly impacts metallurgical properties, dimensional accuracy, and overall product quality. The 15-week industrial research study employed a multi-faceted methodological approach combining quantitative reliability engineering principles with qualitative operational insights.
Key performance indicators post-implementation revealed a 244% extension in Mean Time Between Failures (MTBF), 54% reduction in maintenance expenditure, and significant improvements in strip flatness consistency and microstructural homogeneity. Statistical validation through Weibull distribution analysis confirmed the sustainability of these improvements. The paper concludes by proposing a comprehensive reliability-centered maintenance framework specifically tailored for continuous process metallurgical operations, with potential applications across similar manufacturing environments. This research contributes to the growing body of knowledge on predictive maintenance strategies in high-throughput steel processing facilities facing increasing quality demands and competitive market pressures.},
        keywords = {Run Out Table, TSCR, Reliability Engineering, Predictive Maintenance, Condition Monitoring},
        month = {May},
        }