A QUASI ARL-UNBIASED U CONTROL CHART

被引:0
|
作者
Antonio Argoti, Marco [1 ]
Carrion-Garcia, Andres [2 ]
机构
[1] Univ Politecn Valencia, Dept Appl Stat Operat Res & Quality, Valencia, Spain
[2] Univ Politecn Valencia, Ctr Gest Calidad & Cambio, Valencia, Spain
关键词
Control Chart; Attribute Chart; ARL-biased; ARL-unbiased; Process control;
D O I
10.24874/IJQR13.02-13
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The u-Chart serves to monitor processes by means of the number of defects per inspection unit. The Standard u-Chart, whose principles are based on the normal approximation to the Poisson distribution, was the first of its type and has remained widely popular to this day. In this paper it is shown that this chart is inherently ARL-biased and that this condition greatly affects its capability to detect process improvements. It was found that several superior alternatives to the Standard u-Chart had been proposed over the years, in order to compare them, an analysis of their capability to produce optimal control charts was carried out on the basis of their ARL(BSL) (ARL-bias severity level) and ARL(0) (In-Control ARL). The analysis results showed that they produce optimal control charts far less often than expected. A new u-Chart called "Kmod" is proposed, its capability to produce optimal control charts exceeds that of any other alternative chart, and apart from that, it also includes an easy-to-use method for verifying if its ARL(BSL) is, or is not, adequate.
引用
收藏
页码:451 / 466
页数:16
相关论文
共 50 条
  • [1] An ARL-unbiased Design of Gamma control chart
    Huang, Shuo
    Yang, Jun
    PROCEEDINGS OF THE 2015 FIRST INTERNATIONAL CONFERENCE ON RELIABILITY SYSTEMS ENGINEERING 2015 ICRSE, 2015,
  • [2] An ARL-unbiased c-chart
    Paulino, Sofia
    Morais, Manuel Cabral
    Knoth, Sven
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2016, 32 (08) : 2847 - 2858
  • [3] On ARL-Unbiased Control Charts
    Knoth, Sven
    Morais, Manuel Cabral
    FRONTIERS IN STATISTICAL QUALITY CONTROL 11, 2015, : 95 - 117
  • [4] Monitoring Process Variance Using an ARL-unbiased EWMA-p Control Chart
    Yang, Su-Fen
    Arnold, Barry C.
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2016, 32 (03) : 1227 - 1235
  • [5] ARL-unbiased geometric and CCCG control charts
    Morais, Manuel Cabral
    SEQUENTIAL ANALYSIS-DESIGN METHODS AND APPLICATIONS, 2017, 36 (04): : 513 - 527
  • [6] An ARL-unbiased thinning-based EWMA chart to monitor counts
    Morais, Manuel Cabral
    Knoth, Sven
    Weiss, Christian H.
    SEQUENTIAL ANALYSIS-DESIGN METHODS AND APPLICATIONS, 2018, 37 (04): : 487 - 510
  • [7] The Design of the ARL-Unbiased S2 Chart When the In-Control Variance Is Estimated
    Guo, Baocai
    Wang, Bing Xing
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2015, 31 (03) : 501 - 511
  • [8] An ARL-unbiased modified chart for monitoring autoregressive counts with geometric marginal distributions
    Morais, Manuel Cabral
    Wittenberg, Philipp
    Knoth, Sven
    SEQUENTIAL ANALYSIS-DESIGN METHODS AND APPLICATIONS, 2023, 42 (03): : 323 - 347
  • [9] A heuristic method for obtaining quasi ARL-unbiased p-Charts
    Antonio Argoti, Marco
    Carrion-Garcia, Andres
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2019, 35 (01) : 47 - 61
  • [10] Steady-state ARL analysis of ARL-unbiased EWMA-RZ control chart monitoring the ratio of two normal variables
    Kim Phuc Tran
    Knoth, Sven
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2018, 34 (03) : 377 - 390