• Karan Dev Dogra
• Sanjeev Gupta
• Pardeep Singh

In today's industries, modern machinery is essential for profitability and market competitiveness. The production of components relies heavily on machinery, requiring tailored maintenance for effective strategies. Machine failures can disrupt operations, emphasizing the need for individualized maintenance to sustain productivity. The research paper focuses on analyzing breakdown data from Cement Industry machinery, utilizing the maximum likelihood approach and Weibull distribution modeling to estimate reliability. Statistical assessments of the Scale factor (α) and Shape factor (β) are conducted, with MINITAB 19 software targeting the least reliable components to enhance overall reliability in cement production unit.

Downtime, reliability, scale factor (α), shape factor (β), weibull distribution modeling.

"Statistical Modelling and Analysis of Vital Reliability Indices Pertaining to the Critical Components of Cement Manufacturing Plant", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.i219-i227, June-2024, Available :http://www.jetir.org/papers/JETIR2406823.pdf

"Statistical Modelling and Analysis of Vital Reliability Indices Pertaining to the Critical Components of Cement Manufacturing Plant", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppi219-i227, June-2024, Available at : http://www.jetir.org/papers/JETIR2406823.pdf