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
  • [21] Self-starting control chart for simultaneously monitoring process mean and variance
    Li, Zhonghua
    Zhang, Jiujun
    Wang, Zhaojun
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2010, 48 (15) : 4537 - 4553
  • [22] A joint monitoring of the process mean and variance with a TEWMA-Max control chart
    Chatterjee, Kashinath
    Koukouvinos, Christos
    Lappa, Angeliki
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2023, 52 (22) : 8069 - 8095
  • [23] Synthetic control chart for monitoring the pprocess mean and variance
    Costa, Antonio F. B.
    De Magalhaes, Maysa S.
    Epprecht, Eugenio K.
    TWELFTH ISSAT INTERNATIONAL CONFERENCE RELIABILITY AND QUALITY IN DESIGN, PROCEEDINGS, 2006, : 210 - +
  • [24] An adaptive EWMA control chart for monitoring the process mean in Bayesian theory under different loss functions
    Noor-ul-Amin, Muhammad
    Noor, Surria
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2021, 37 (02) : 804 - 819
  • [25] MONITORING AUTOCORRELATED PROCESS MEAN AND VARIANCE USING A GWMA CHART BASED ON RESIDUALS
    Sheu, Shey-Huei
    Lu, Shin-Li
    ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH, 2008, 25 (06) : 781 - 792
  • [26] A Bayesian Control Chart for Monitoring Process Variance
    Lin, Chien-Hua
    Lu, Ming-Che
    Yang, Su-Fen
    Lee, Ming-Yung
    APPLIED SCIENCES-BASEL, 2021, 11 (06):
  • [27] A Synthetic Scaled Weighted Variance Control Chart for Monitoring the Process Mean of Skewed Populations
    Castagliola, Philippe
    Khoo, Michael B. C.
    COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2009, 38 (08) : 1659 - 1674
  • [28] The Max EWMAMS Control Chart for Joint Monitoring of Process Mean and Variance with Individual Observations
    Memar, Ahmad Ostadsharif
    Niaki, Seyed Taghi Akhavan
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2011, 27 (04) : 499 - 514
  • [29] A control chart for monitoring process mean based on attribute inspection
    Wu, Zhang
    Jiao, Jianxin
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2008, 46 (15) : 4331 - 4347
  • [30] Function-based adaptive exponentially weighted moving average dispersion control chart
    Arshad, Asma
    Noor-ul-Amin, Muhammad
    Hanif, Muhammad
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2021, 37 (06) : 2685 - 2698