A comparison of control charting procedures for monitoring process dispersion

被引:104
作者
Acosta-Mejia, CA [1 ]
Pignatiello, JJ
Rao, BV
机构
[1] Inst Tecnol Autonomo Mexico, Dept Ind & Operat Engn, Mexico City 01000, DF, Mexico
[2] Florida A&M Univ, Florida State Univ, Dept Ind Engn, Tallahassee, FL 32310 USA
[3] SABRE Decis Technol, Res Grp, Southlake, TX 76092 USA
关键词
D O I
10.1080/07408179908969859
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We consider several control charts for monitoring normal processes for changes in dispersion. We present comparisons of the average run length performances of these charts. We demonstrate that a CUSUM chart based on the likelihood ratio test for the change point problem for normal variances has an ARL performance that is superior to other procedures. Graphs are given to aid in designing this control chart.
引用
收藏
页码:569 / 579
页数:11
相关论文
共 18 条
[1]  
BOX GEP, 1991, 6567 U WISC CTR QUAL
[2]  
BROOK D, 1972, BIOMETRIKA, V59, P539
[3]   A CUMULATIVE SUM CONTROL CHART FOR MONITORING PROCESS VARIANCE [J].
CHANG, TC ;
GAN, FF .
JOURNAL OF QUALITY TECHNOLOGY, 1995, 27 (02) :109-119
[4]  
CHANG TC, 1994, J STAT COMPUTATION S
[5]  
Cinlar E, 2013, INTRO STOCHASTIC PRO
[6]   AN EWMA FOR MONITORING A PROCESS STANDARD-DEVIATION [J].
CROWDER, SV ;
HAMILTON, MD .
JOURNAL OF QUALITY TECHNOLOGY, 1992, 24 (01) :12-21
[7]   DETERMINATION OF ARL AND A CONTOUR NOMOGRAM FOR CUSUM CHARTS TO CONTROL NORMAL MEAN [J].
GOEL, AL ;
WU, SM .
TECHNOMETRICS, 1971, 13 (02) :221-&
[8]  
KANTROVICH LV, 1958, APPROXIMATE METHODS
[9]  
LUCAS JM, 1990, TECHNOMETRICS, V32, P1, DOI 10.2307/1269835
[10]   OPTIMAL STOPPING-TIMES FOR DETECTING CHANGES IN DISTRIBUTIONS [J].
MOUSTAKIDES, GV .
ANNALS OF STATISTICS, 1986, 14 (04) :1379-1387