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Assessing the efficiency of maintenance operators: a case study of turning railway wheelsets on an under-floor wheel lathe

机译:评估维护操作员的效率:在地板下车轮车床上转动铁路轮对的案例研究

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摘要

The present paper assesses the technical efficiency of different operators turning railway wheelsets on a under-floor wheel lathe. This type of lathe is a Computer Numerical Control (CNC) machine used to turn wheelsets in-situ on the train. As railway wheels are turned, a certain amount of the wheel diameter is lost to restore the tread profile and full flange thickness of the wheel. The technical efficiencies of the different wheel lathe operators are assessed using a Stochastic Frontier Analysis (SFA), whilst controlling for other explaining variables such as the flange thickness and the occurrence of rolling contact fatigue (RCF) defects, wheel flats and cavities. Different model specifications for the SFA are compared with Linear Mixed Model (LMM) specifications, showing that the SFA model exhibits a better Akaike Information Criterion (AIC).
机译:本文评估了不同操作员在地板下轮式车床上转动铁路轮对的技术效率。这种类型的车床是一台计算机数控(CNC)机器,用于在火车上原地转动轮对。随着铁路车轮的转动,会损失一定数量的车轮直径,以恢复车轮的胎面轮廓和完整的凸缘厚度。使用随机前沿分析(SFA)评估了不同的轮毂车床操作员的技术效率,同时控制了其他解释变量,例如法兰厚度和滚动接触疲劳(RCF)缺陷,轮辋和空腔的出现。将SFA的不同模型规范与线性混合模型(LMM)规范进行了比较,表明SFA模型表现出更好的赤池信息准则(AIC)。

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