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Measuring production yield for processes with multiple characteristics

机译:测量具有多个特征的过程的产量

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摘要

Numerous capability indices have been proposed to measure the performance of processes with multiple characteristics. The index S_(PK)~T provides an exact measure on the production yield of multinormal processes in which the characteristics are mutually independent. In this paper, we thoroughly investigate the relationship between process parameters and the sampling distribution of S_(PK)~T. Our investigation shows that for a fixed S_(PK)~T, the variance of sample estimator of S_(PK)~T is restricted in an interval. For reliability consideration, the maximal variance is used in the estimation and testing of the production yield to ensure the level of confidence. Also, information about sample sizes required for specified precision of estimation and for convergence is determined. At last, we implement a trivariate process with data collected from a plastics manufacturing industrial to demonstrate the practicability of the proposed method in measuring the production yield.
机译:已经提出了许多能力指数来测量具有多个特征的过程的性能。指标S_(PK)〜T提供了一个精确度量,这些度量具有相互独立的特征的多范式过程的产量。在本文中,我们彻底研究了工艺参数与S_(PK)〜T的采样分布之间的关系。我们的研究表明,对于固定的S_(PK)〜T,S_(PK)〜T的样本估计量的方差限制在一个区间内。出于可靠性考虑,在估计和测试产量时会使用最大方差,以确保置信度。另外,确定关于指定的估计精度和收敛所需的样本大小的信息。最后,我们使用从塑料制造行业收集的数据实施三变量过程,以证明所提出的方法在测量产量方面的实用性。

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