JOINT MONITORING OF PROCESS MEAN AND VARIANCE USING EXPONENTIALLY WEIGHTED MOVING AVERAGE CONTROL CHARTS

被引:137
作者
GAN, FF
机构
关键词
AVERAGE RUN LENGTH (ARL); EXTRAPOLATION METHOD; NORMAL DISTRIBUTION; RUN-LENGTH DISTRIBUTION; STATISTICAL QUALITY CONTROL;
D O I
10.2307/1269736
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The performances of control-charting schemes for the joint monitoring of a process mean and a variance are evaluated and compared. Certain schemes are shown to be inadequate for this purpose, and the potential risk of using these schemes alone is discussed. A combined scheme consisting of a two-sided exponentially weighted moving avenge (EWMA) mean chart and a two-sided EWMA variance chart is found to perform well under several types of out-of-control situations. A simple method is provided for approximating the average run length and the percentage points of a run-length distribution of a combined EWMA scheme. A simple procedure is also proposed for the design of a combined EWMA scheme.
引用
收藏
页码:446 / 453
页数:8
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