Process capability indices (PCI) can be viewed as effective and excellent means of measuring product quality and performance. Several capability indices including Cp, Cpk, and Cpm are well accepted and the implementation of these techniques is successful. The indices Cpu, Cpl, and Cpk have been used previously for evaluating a multi-process product with smallerthe-better, larger-the-better, and...

It has been proved that process capability indices provide very efficient measures of the capability of processes from many different perspectives. These indices have been widely used in the manufacturing industry for measuring process reproduction capability according to manufacturing specifications. In the past few years, univariate capability indices have been introduced and used to characte...

Statistical techniques are effective and powerful means of quantifying the variability of processes, analyzing this variability with reference to product requirements, and eliminating this variability in product manufacturing. Many process capability indices have been effectively and widely used to determine whether the quality of a process meets preset targets. However, conventional process ca...

A simple method is given to calculate the multivariate process capability index Cp * as defined by Taam et al. (1993) and discussed by Kotz & Johnson (1993). It is shown that using this index is equivalent to using the smallest univariate Cp -value to determine the capability of a process.

In this paper, the authors analyze the big data cloud computing platform application in performance evaluation index of regional innovation capability. Relevant domestic researches of regional innovation capability performance measures are expounded. In view of this, an evaluation index system of regional innovation capability is created, including the number of R&D personnel, input indicators ...