System Availability Modeling for Steel Industries in Hisar
Keywords:
RPGT, Availability, Steel Manufacturing, Reliability AnalysisAbstract
This paper presents a system availability modeling study for the steel industry in Hisar. The analysis, which focuses on a stainless steel plant with four major subsystems (Grinding, Descaling, Hot Steckel Mill, and Cutter Machine) arranged in series, uses the Regenerative Point Graphical Technique (RPGT) to model system behavior. RPGT is used to generate analytical expressions for system availability, and numerical examples are provided to demonstrate the effects of various failure and repair rates. The findings, presented in tables and graphs, provide actionable insights for optimizing availability in steel manufacturing systems, allowing plant managers in Hisar to improve operational reliability and reduce downtime.
References
Ahmed, S., Bhatia, P. & Kumar, V. (2014). Analysis of a System considering Faults occurs due to delay in Repair. Soch-Mastnath Journal of Science & Technology, 9(4), 203-209.
Ahmad, S., & Kumar, V. (2015). Availability analysis of a two-unit centrifuge system considering the halt state on occurrence of minor/major fault. International Journal of Engineering Sciences & Research Technology, 4(5), 200-208.
Ahmad, S., & Kumar, V. (2015). Profit analysis of a two-unit centrifuge system considering the halt state on occurrence of minor/major fault. International Journal of Advanced Research in Engineering and Applied Sciences, 4(4), 94-108.
Arya, R., & Verma, A. (2025). Reliability and availability prediction of embedded systems based on environment modeling and simulation. ISAR Journal of Science and Technology, 74-78.
Bansal, S., & Tyagi, S. L. (2024). Availability and profit optimization of continuous casting system of the steel industry using artificial neural network technique. Reliability: Theory & Applications, 47-58.
Bastos, F. C., & Fujiyama, R. T. (2023). Application of reliability-centered maintenance in a steel mill. Brazilian Journal of Production Engineering, 206-223.
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