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Elliptical safety region plots for C_(pk)

机译:C_(pk)的椭圆安全区域图

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The process capability index C_(pk) is widely used when measuring the capability of a manufacturing process. A process is defined to be capable if the capability index exceeds a stated threshold value, e.g. C_(pk) > 4/3. This inequality can be expressed graphically using a process capability plot, which is a plot in the plane defined by the process mean and the process standard deviation, showing the region for a capable process. In the process capability plot, a safety region can be plotted to obtain a simple graphical decision rule to assess process capability at a given significance level. We consider safety regions to be used for the index C_(pk). Under the assumption of normality, we derive elliptical safety regions so that, using a random sample, conclusions about the process capability can be drawn at a given significance level. This simple graphical tool is helpful when trying to understand whether it is the variability, the deviation from target, or both that need to be reduced to improve the capability. Furthermore, using safety regions, several characteristics with different specification limits and different sample sizes can be monitored in the same plot. The proposed graphical decision rule is also investigated with respect to power.
机译:在测量制造过程的能力时,广泛使用过程能力指数C_(pk)。如果能力指数超过规定的阈值,例如,能力指数,则将过程定义为能够。 C_(pk)> 4/3。可以使用过程能力图以图形表示此不等式,该能力图是由过程平均值和过程标准偏差定义的平面中的图,显示了有能力过程的区域。在过程能力图中,可以绘制安全区域以获得简单的图形决策规则,以评估给定重要性级别下的过程能力。我们考虑将安全区域用于索引C_(pk)。在正常性的假设下,我们得出椭圆安全区域,以便使用随机样本在给定的显着性水平下得出有关过程能力的结论。当试图了解是为了提高性能而需要减少可变性,与目标的偏差还是两者都需要降低时,此简单的图形工具非常有用。此外,使用安全区域,可以在同一图中监视具有不同规格限制和不同样本量的多个特征。所提出的图形决策规则也针对功率进行了研究。

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