首页> 外文会议>2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)论文集 >Comparison and Extensions on Estimation of Non-normal Process Capability Indices
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Comparison and Extensions on Estimation of Non-normal Process Capability Indices

机译:非正常过程能力指标估计的比较和扩展

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Many process capability indices have been proposed to measure process performance. To calculate the indices for characteristics, most industries normally assume the distribution of their process output is normal. But, it has not been proved that the collected data matches the assumption of normality.Therefore, it is doubtful whether the cp and pk cpk indices can really reflect the performance of a process. So it is one of the current hotspots in the analysis of process capability to study the process capability indices (PCI) for non-normal distributions. Aiming at some problems existing in this domain, this paper analyzes the necessity of normality test, then, categorizes and discusses briefly usual methods for the estimation of non-normal capability indices. Many proposed methods for assessing capability are contrasted and compared. Finally, the future aspects in the research of non-normal capability indices are suggested as well.
机译:已经提出了许多过程能力指数来测量过程性能。为了计算特性指标,大多数行业通常假定其过程输出的分布是正态分布。但是,尚未证明收集到的数据符合正态性假设,因此,cp和pk cpk索引是否真的可以反映过程的性能值得怀疑。因此,研究非正态分布的过程能力指数(PCI)是过程能力分析的当前热点之一。针对该领域存在的一些问题,本文分析了正态性检验的必要性,然后对非正态性能力指标的估算方法进行了分类和简要讨论。比较并比较了许多提议的评估能力的方法。最后,提出了非标准能力指标研究的未来方向。

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