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Sample size determination for estimating process precision and process loss based on multiple samples with designated accuracy ratio

机译:确定样品大小,以指定精度比率的多个样品为基础,估算工艺精度和工艺损失

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The process capability index C_p is defined as C_p=(USL-LST)/(6 sigma), where USL and LSL are upper and lower specification limits. The Taguchi capability index C_(pm)/(USL-LST)/(6(sigma~2+(mu-T)~2)~(1/2)) where T is the target value. The loss function is loss(X) = (X -T)~2. A routine-basis data collection procedure is executed to run X and S control charts, then to analyze the past in-control data. Li, et al. (Ref. 1) and Kirmani, et al. (Refs. 2 and 3) studied the distribution of estimating process capability indices based on the ranges of the subsamples for C_p and C_(pk) and the sample standard deviation of the subsamples for C_p, respectively. Vannman and Hubele (Ref. 4) derived the distribution properties of estimated capability indices based on multiple samples. Pearn and Yang (Ref. 5) considered the distributional and inferential properties of the estimated precision C_p based on multiple samples.
机译:过程能力指数C_p定义为C_p =(USL-LST)/(6 sigma),其中USL和LSL是规格的上限和下限。田口能力指数C_(pm)/(USL-LST)/(6(sigma〜2 +(mu-T)〜2)〜(1/2)),其中T为目标值。损失函数为loss(X)=(X -T)〜2。执行例行基础数据收集过程以运行X和S控制图,然后分析过去的控制数据。 Li等。 (参考资料1)和Kirmani等人。 (参考文献2和3)分别基于C_p和C_(pk)子样本的范围以及C_p子样本的样本标准偏差研究了估计过程能力指数的分布。 Vannman和Hubele(参考文献4)基于多个样本得出了估计能力指数的分布特性。 Pearn和Yang(参考文献5)考虑了基于多个样本的估计精度C_p的分布和推断性质。

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