RELIABILITY AND AVAILABILITY IMPROVEMENT OF RAW MATERIAL CHARGING STATION IN A STEEL INDUSTRY

S. Rath, Ashis KUMAR CHAKRABORTY, S. Chatterjee
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Abstract

Raw Material Charging Station (RMCS) is one of the most important infrastructures in steel industry and is used to load and carry crushed iron ore to furnace. Breakdown behaviour of the RMCS was observed for a certain period, and its future behaviour was predicted using a reliability model. For improvement of availability however, a Six sigma approach was used. Initial focus was to reduce the repair time per month in order to make RMCS more available for use and save the financial loss due to unavailability of the furnaces to produce steel. This study discovers a way to simultaneously improve reliability, reduce repair time and thereby improve availability of the RMCS. The study also generalises an approach for improving reliability and availability for any mechanised repairable system using six sigma methodologies.
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钢铁行业原料充电站可靠性和可用性的改进
原料充电站(RMCS)是钢铁工业中最重要的基础设施之一,用于将破碎的铁矿石装载和输送到加热炉。观察了一段时间内RMCS的故障行为,并使用可靠性模型预测了其未来行为。然而,为了提高可用性,采用了六西格玛方法。最初的重点是减少每月的维修时间,以使RMCS更易于使用,并节省因无法使用熔炉生产钢铁而造成的经济损失。本研究发现了一种同时提高可靠性,减少维修时间,从而提高RMCS可用性的方法。该研究还推广了一种方法,以提高可靠性和可用性的任何机械可修系统使用六西格玛方法。
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INFERENCE AND PREDICTION OF ORDER STATISTICS BASED ON K-RECORD VALUES FROM A WEIBULL DISTRIBUTION WHITHER STATISTICS? RELIABILITY AND AVAILABILITY IMPROVEMENT OF RAW MATERIAL CHARGING STATION IN A STEEL INDUSTRY WEIGHTED ALTERNATED CHARTING STATISTIC CONTROL CHART TO MONITOR THE MEAN VECTOR USE OF RANKED SET SAMPLING IN THE ESTIMATION OF PARAMETERS 𝝁𝟐 AND 𝝈𝟐 OF MORGENSTERN TYPE BIVARIATE EXPONENTIAL DISTRIBUTION
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