Synthetic charts to control bivariate processes with autocorrelated data

被引:13
|
作者
Simoes, Felipe Domingues [1 ,3 ]
Leoni, Roberto Campos [1 ,2 ]
Guerreiro Machado, Marcela Aparecida [1 ,3 ]
Branco Costa, Antonio Fernando [1 ,3 ]
机构
[1] Sao Paulo State Univ UNESP, Prod Dept, Guaratingueta, SP, Brazil
[2] Mil Acad Agulhas Negras AMAN, Chair Stat, BR-27534970 Resende, RJ, Brazil
[3] UNESP, Fac Engn, Dept Prod, BR-12516410 Guaratingueta, SP, Brazil
关键词
(X)over-bar charts; Steady state; Synthetic; Side-sensitive; Bivariate process; (X)OVER-BAR CHART; PROCESS DISPERSION; OPTIMAL-DESIGN; T-2; CHART; PERFORMANCE;
D O I
10.1016/j.cie.2016.04.005
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this study, we propose the use of simultaneous (X) over bar charts to control bivariate processes with autocorrelated data. The first set of (X) over bar charts is side-sensitive with regard to the same variable (SV (X) over bar charts) and the second one is side-sensitive with regard to both variables (BV (X) over bar charts). The Markov chain approach was used to obtain the steady-state properties of the (X) over bar charts. In comparison with the standard synthetic T-2 chart, the SV and the BV charts signal faster in a wide variety of disturbances, except when the variables are high correlated. The BV charts are simpler and signal faster than the SV charts. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:15 / 25
页数:11
相关论文
共 50 条
  • [31] Practical Design of Generalized Likelihood Ratio Control Charts for Autocorrelated Data
    Capizzi, Giovanna
    Masarotto, Guido
    [J]. TECHNOMETRICS, 2008, 50 (03) : 357 - 370
  • [32] Improved Design of Robust Exponentially Weighted Moving Average Control Charts for Autocorrelated Processes
    Lee, Hyun Cheol
    Apley, Daniel W.
    [J]. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2011, 27 (03) : 337 - 352
  • [33] Optimal triple sampling X charts for autocorrelated processes
    Babatunde, Oluwagbenga Tobi
    Khoo, Michael B. C.
    Saha, Sajal
    Yeong, Wai Chung
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2024, 194
  • [34] Optimization design of the CUSUM and EWMA charts for autocorrelated processes
    Osei-Aning, Richard
    Abbasi, Saddam Akber
    Riaz, Muhammad
    [J]. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2017, 33 (08) : 1827 - 1841
  • [35] Control charts for monitoring the mean vector and the covariance matrix of bivariate processes
    Machado, Marcela A. G.
    Costa, Antonio F. B.
    Marins, Fernando A. S.
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2009, 45 (7-8): : 772 - 785
  • [36] Bivariate Dispersion Control Charts for Monitoring Non-Normal Processes
    Osei-Aning, Richard
    Abbasi, Saddam Akber
    Riaz, Muhammad
    [J]. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2017, 33 (03) : 515 - 529
  • [37] Control charts for monitoring the mean vector and the covariance matrix of bivariate processes
    Marcela A. G. Machado
    Antonio F. B. Costa
    Fernando A. S. Marins
    [J]. The International Journal of Advanced Manufacturing Technology, 2009, 45 : 772 - 785
  • [38] On auxiliary information-based control charts for autocorrelated processes with application in manufacturing industry
    Ahmad, Shabbir
    Riaz, Muhammad
    Hussain, Shahid
    Abbasi, Saddam Akber
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 100 (5-8): : 1965 - 1980
  • [39] Design of exponentially weighted moving average control charts for autocorrelated processes with model uncertainty
    Apley, DW
    Lee, HC
    [J]. TECHNOMETRICS, 2003, 45 (03) : 187 - 198
  • [40] On auxiliary information-based control charts for autocorrelated processes with application in manufacturing industry
    Shabbir Ahmad
    Muhammad Riaz
    Shahid Hussain
    Saddam Akber Abbasi
    [J]. The International Journal of Advanced Manufacturing Technology, 2019, 100 : 1965 - 1980