Chia-Hau Liu and Tai-Yue Wang
An AKChart for the NonNormal Data
1107 - 1112
2014
8
7
International Journal of Economics and Management Engineering
https://publications.waset.org/pdf/9998681
https://publications.waset.org/vol/91
World Academy of Science, Engineering and Technology
Traditional multivariate control charts assume that measurement from manufacturing processes follows a multivariate normal distribution. However, this assumption may not hold or may be difficult to verify because not all the measurement from manufacturing processes are normal distributed in practice. This study develops a new multivariate control chart for monitoring the processes with nonnormal data. We propose a mechanism based on integrating the oneclass classification method and the adaptive technique. The adaptive technique is used to improve the sensitivity to small shift on oneclass classification in statistical process control. In addition, this design provides an easy way to allocate the value of type I error so it is easier to be implemented. Finally, the simulation study and the real data from industry are used to demonstrate the effectiveness of the propose control charts.
Open Science Index 91, 2014