Distribution-Free CUSUM-Type Control Charts for Monitoring Industrial Processes: An Overview

被引：4
作者：
Triantafyllou, Ioannis S. [1 ]
Ram, Mangey [2 ]
机构：
[1] Univ Thessaly, Dept Comp Sci & Biomed Informat, Lamia 35131, Greece
[2] Graph Era Deemed Univ, Dept Math Comp Sci & Engn, Dehra Dun 248002, Uttarakhand, India
来源：
INTERNATIONAL JOURNAL OF MATHEMATICAL ENGINEERING AND MANAGEMENT SCIENCES | 2021年 / 6卷 / 04期
关键词：
Distribution-free statistical methods; Rank-based procedures; Nonparametric statistical process control; Cumulative sum control charts; Sign statistics; NONPARAMETRIC CONTROL CHARTS; WEIGHTED MOVING AVERAGE; LOCATION; VARIABLES; VARIANCE; DESIGN;
D O I：
10.33889/IJMEMS.2021.6.4.058
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In the present paper we provide an up-to-date overview of nonparametric Cumulative Sum (CUSUM) monitoring schemes. Due to their nonparametric nature, such memory-type schemes are proved to be very useful for monitoring industrial processes, where the output does not match to a particular distributional model. Several fundamental contributions on the topic are mentioned, while recent advances are also presented in some detail. In addition, some practical applications of the nonparametric CUSUM-type control charts are highlighted, in order to emphasize their crucial role in the contemporary online Statistical Process Control.
引用
收藏
页码：975 / 1008
页数：34
相关论文
共 99 条
[81]   APPROXIMATIONS TO AVERAGE RUN LENGTH IN CUMULATIVE SUM CONTROL CHARTS [J].
REYNOLDS, MR .
TECHNOMETRICS, 1975, 17 (01) :65-71
[82]   Controlling multiple stream processes with principal components [J].
Runger, GC ;
Alt, FB ;
Montgomery, DC .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1996, 34 (11) :2991-2999
[83]   The Generally Weighted Moving Average Control Chart for Detecting Small Shifts in the Process Mean [J].
Sheu, Shey-Huei ;
Lin, Tse-Chieh .
2003, Marcel Dekker Inc. (16) :209-231
[84]   A nonparametric CUSUM chart for process dispersion [J].
Shirke, D. T. ;
Barale, M. S. .
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2018, 34 (05) :858-866
[85]   A distribution-free CUSUM chart for joint monitoring of location and scale based on the combination of Wilcoxon and Mood statistics [J].
Tercero-Gomez, Victor ;
Aguilar-Lleyda, Victor ;
Cordero-Franco, Alvaro ;
Conover, William .
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2020, 36 (04) :1422-1453
[86]   An Omnibus Consistent Adaptive Percentile Modified Wilcoxon Rank Sum Test with Applications in Gene Expression Studies [J].
Thas, Olivier ;
Clement, Lieven ;
Rayner, John C. W. ;
Carvalho, Beatriz ;
Van Criekinge, Wim .
BIOMETRICS, 2012, 68 (02) :446-454
[87]   A new distribution-free monitoring scheme based on ranks [J].
Triantafyllou, Ioannis S. ;
Panayiotou, Nikolaos, I .
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2022, 51 (11) :6456-6478
[88]   Wilcoxon-type rank-sum control charts based on progressively censored reference data [J].
Triantafyllou, Ioannis S. .
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2021, 50 (02) :311-328
[89]   A new distribution-free control scheme based on order statistics [J].
Triantafyllou, Ioannis S. .
JOURNAL OF NONPARAMETRIC STATISTICS, 2019, 31 (01) :1-30
[90]   Nonparametric control charts based on order statistics: Some advances [J].
Triantafyllou, Ioannis S. .
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2018, 47 (09) :2684-2702
12345678910