The allocation of best-fit/goodness-of-fit distribution was made by utilizing the Kolmogorov–Smirnov (K–S) statistical test. The present study focuses on the estimation of underground mining machinery such as the load–haul–dump (LHD) machine performance characteristics using ‘Isograph Reliability Workbench 13.0’ software. Scientific and reliable performance forecasts enable us to organize the maintenance and operational activities at their best levels. The performance of equipment mainly depends upon the usage, working atmosphere, effectiveness of maintenance, operational procedures and technical skill of the operators. “Reliability estimation” plays a significant role in the performance evaluation for a complex repairable system. Hence, it is more essential to estimate the performance of utilized equipment for reaching/achieving future goals. The accomplishment of this can be possible only by optimizing the human and machinery resources in an efficient and effective manner. Survival of industries has become more critical in the present global competitive business environment unless they produce goods and services- that are competitive in many dimensions like quality, price and reliability etc. In the present day global competitive business environment, the prevalence of multi-dimensional challenges for industries have made the survival fight extremely tough due to serious competition among them. Balaraju Jakkula, Assistant Professor, Aditya Engineering College, Andhra Pradesh.ĭay, Date and Time: Monday, November 15, 2021, 9:30 AM to 10:30 AM. Title: PERFORMANCE ANALYSIS OF INDUSTRIAL MACHINERY USING RELIABILITY ANALYSIS
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