An EWMA-type Control Chart with Variable Sampling Intervals for Monitoring Process Mean and Variability

被引：0

作者：

Lu, Shin-Li ^{[1
]}

Tsai, Chen-Fang ^{[1
]}

Huang, Chi-Jui ^{[2
]}

机构：

[1] Aletheia Univ, Dept Ind Management & Enterprise Informat, Taipei, Taiwan

[2] Jinwen Univ Sci & Technol, Dept Int Trade, New Taipei, Taiwan

来源：

WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, WCECS 2017, VOL II | 2017年

关键词：

adaptive control chart; variable sampling interval (VSI); EWMA-SC control chart; average time to signal (ATS); (X)OVER-BAR CONTROL CHARTS; AVERAGE CONTROL CHART; CUSUM SCHEME; LINEAR PROFILES; SIZES; VARIANCE; ROBUSTNESS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Traditional single exponentially weighted moving average (EWMA) charts for monitoring the process mean and variability are based on taking samples from the process with fixed sampling intervals (FSI). Recent research has demonstrated that control chart with variable sampling intervals (VSI) are quicker than the traditional static ones in detecting process shifts. In this paper, we develop an EWMA-semicircle (EWMA-SC) chart with the VSI feature to enhance the speed of detecting changes in mean and/or variability. Numerical simulations are used to evaluate the average time to signal (ATS) of the VSI EWMA-SC and the corresponding fixed sampling interval (FSI) EWMA-SC charts. Results show that the proposed VSI EWMA-SC chart is considerably more efficient than the FSI EWMA-SC chart.

引用

页码：782 / 786

页数：5

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