A loss function-based adaptive control chart for monitoring the process mean and variance

被引:19
|
作者
Wu, Zhang [1 ]
Wang, Penghui [1 ]
Wang, Qinan [2 ]
机构
[1] Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore 639798, Singapore
[2] Nanyang Technol Univ, Nanyang Business Sch, Singapore 639798, Singapore
关键词
Quality control; Statistical process control (SPC); Computer-aided SPC; Adaptive control chart; Loss function; INDIVIDUAL OBSERVATIONS; CONTROL SCHEMES; SHIFTS; DESIGN;
D O I
10.1007/s00170-008-1408-6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article proposes an adaptive loss function (AL) control chart for statistical process control (SPC). This chart is able to monitor process shifts in the mean and variance simultaneously. It is appealing for its effectiveness in detecting process shifts and simplicity in operation under a computerized SPC environment. By using a fixed sample size and a fixed sampling interval, the AL chart can be operated as easily as the conventional X and S charts from the stand of the operators. Nevertheless, via the computer-aided adaption of some charting parameters, the AL chart is not only significantly more effective than the X and S charts, but it also outperforms the cumulative sum (CUSUM) charts for most of the combinations of mean and increasing variance shifts.
引用
收藏
页码:948 / 959
页数:12
相关论文
共 50 条
  • [41] An attribute inspection control chart for process mean monitoring
    Roberto C. Quinino
    Lupércio F. Bessegato
    Frederico R. B. Cruz
    The International Journal of Advanced Manufacturing Technology, 2017, 90 : 2991 - 2999
  • [42] An Evaluation of a GLR Control Chart for Monitoring the Process Mean
    Reynolds, Marion R., Jr.
    Lou, Jianying
    JOURNAL OF QUALITY TECHNOLOGY, 2010, 42 (03) : 287 - 310
  • [43] An improved SPRT control chart for monitoring process mean
    Ou, Yanjing
    Wu, Zhang
    Chen, Songlin
    Lee, Ka Man
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2010, 51 (9-12): : 1045 - 1054
  • [44] A Robust Control Chart for Monitoring the Mean of an Autocorrelated Process
    Aytacoglu, Burcu
    Sazak, Hakan S.
    COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2015, 44 (07) : 1787 - 1800
  • [45] An attribute inspection control chart for process mean monitoring
    Quinino, Roberto C.
    Bessegato, Lupercio F.
    Cruz, Frederico R. B.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 90 (9-12): : 2991 - 2999
  • [46] An improved R (Range) control chart for monitoring the process variance
    Khoo, MBC
    Lim, EG
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2005, 21 (01) : 43 - 50
  • [47] Monitoring process mean and variance with a single generally weighted moving average chart
    The, S.Y.
    Khoo, Michael B. C.
    Wu, Zhang
    Communications in Statistics - Theory and Methods, 2012, 41 (10-12) : 2221 - 2241
  • [48] Monitoring Process Mean and Variance with a Single Generally Weighted Moving Average Chart
    Teh, S. Y.
    Khoo, Michael B. C.
    Wu, Zhang
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2012, 41 (12) : 2221 - 2241
  • [49] A control chart based on robust estimators for monitoring the process mean of a quality characteristic
    Abu-Shawiesh, Moustafa
    INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT, 2009, 26 (05) : 480 - +
  • [50] Control Chart Limits for Monitoring Process Mean Based on Downton's Estimator
    Adeoti, Olatunde A.
    Olaomi, John O.
    Adekeye, Kayode S.
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2016, 32 (05) : 1731 - 1740