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Measuring the effectiveness of mining shovels

机译：评估挖土机的效率

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摘要

Electric and hydraulic shovels are the dominant loading machinery in surface mining operations. Despite their critical role in production and their high capital and operating costs, no reliable and comprehensive quantitative performance metric is available. In this paper, a stochastic shovel effectiveness (SSE) measure is proposed for the purpose of quantifying the performance effectiveness of these shovels. The SSE is based on the widely used method of overall equipment effectiveness (OEE) in the manufacturing industry. The OEE measures the performance effectiveness of equipment by multiplying its mechanical availability, utilization and production quality. In manufacturing processes, quality rate is the ratio of the total number of products minus the number of defective products - equivalent to the number of acceptable products - to the total number of products. The SSE similarly uses the mechanical-availability and utilization terms, but instead of quality rate it uses a new parameter named bucket rate.The variability or randomness of the input data, that is, availability, utilization and bucket rate, are further incorporated into the SSE, and a final stochastic SSE distribution is derived in the form of a probability density function. One hydraulic and one electric shovel in a surface mining operation were selected to test the validity of the proposed method. The SSE scores for the two shovels, operating continuously for one year, were derived and compared. As with the OEE, the three-parameter SSE method yielded more representative results for overall performance measurement than a single-parameter approach. Using Monte Carlo simulation, a three-parameter Weibull and a normal distribution were derived for quantifying the overall effectiveness of hydraulic and electric shovels, respectively. As a decision aid, the proposed methodology promises to render a more informative tool than traditional metrics for mine equipment maintenance and management.
机译：电动和液压挖掘机是露天采矿作业中的主要装载机械。尽管它们在生产中起着关键作用，并且其高昂的资本和运营成本，但没有可靠，全面的定量绩效指标。在本文中，为了量化这些铲的性能有效性，提出了一种随机铲效率（SSE）措施。 SSE基于制造业中广泛使用的整体设备有效性（OEE）方法。 OEE通过增加其机械可用性，利用率和生产质量来衡量设备的性能有效性。在制造过程中，质量率是产品总数减去有缺陷的产品数目（等于合格产品的数目）与产品总数的比率。上证所类似地使用机械可用性和利用率术语，但代替质量率，而是使用一个名为存储桶速率的新参数，将输入数据的可变性或随机性（即可用性，利用率和存储桶速率）进一步合并到SSE，并以概率密度函数的形式导出最终的随机SSE分布。选择了露天采矿作业中的一台液压铲和一台电铲，以验证该方法的有效性。推导并比较了连续工作一年的两把铲子的SSE分数。与OEE一样，与单参数方法相比，三参数SSE方法在整体性能测量方面产生了更具代表性的结果。使用蒙特卡洛模拟，得出了三参数威布尔和正态分布，分别用于量化液压铲和电动铲的整体有效性。作为决策辅助，拟议的方法有望为矿山设备的维护和管理提供比传统指标更多的信息工具。

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