A new exponentially weighted moving average control chart for monitoring the coefficient of variation

作者：Zhang Jiujun; Li Zhonghua; Chen Bin; Wang Zhaojun^*

来源：COMPUTERS & INDUSTRIAL ENGINEERING, 2014, 78: 205-212.

DOI：10.1016/j.cie.2014.09.027

• Coefficient of variation
• Exponentially weighted moving average
• Average run length
• Statistical Process Control

Monitoring coefficient of variation is one of the successful approaches to Statistical Process Control (SPC) when the process mean and standard deviation are not constants. This paper presents a modified Exponentially Weighted Moving Average (EWMA) chart in order to further enhance the sensitivity of the EWMA control chart proposed by Castagliola et al. (2011). Tables are provided for the statistical properties of the new chart. Some numerical results and comparisons are given and show that the new chart has an average run length performance that is superior to some other competing procedures. A real data example from manufacturing shows that it performs quite well in applications.

• 出版日期2014-12
• 单位辽宁大学; 南开大学