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《Industrial Engineering Journal》 2013-01
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Support Vector Data Description-based Multivariate Exponentially Weighted Moving Average Control Chart

He Shu-guang,Qian Ting(School of Management,Tianjin University,Tianjin 300072,China)  
The D2 control chart based on support vector data description(SVDD) has an advantage that it does not require a known sampling distribution for the process data.However,it uses only the current samples,leading to that it is insensitive to small shifts.To solve this problem,based on SVDD method,a multivariate exponentially weighted moving average(MEWMA) control chart(denoted as S-MEWMA) is proposed in this paper.Simulation results show that the S-MEWMA chart outperforms the D2 control chart no matter whether a process follows a normal or non-normal distribution.
【Fund】: 国家自然科学基金资助项目(71002105)
【CateGory Index】: TP18;TP13
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