Deciles‐based EWMA‐type sign charts for process dispersion

Godase, Dadasaheb G.; Rakitzis, Athanasios C.; Mahadik, Shashibhushan B.; Khoo, Michael B. C.

doi:10.1002/qre.3169

Cited by 6 publications

(5 citation statements)

References 53 publications

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“…Both distribution-free schemes performed slightly better than their counterparts. There is a wide list of NP control charts in the SPC literature, e.g., Bakir and Reynolds 20 , Amin et al 21 , Bakir 22 , 23 , Das and Bhattacharya 24 , Graham et al 25 , Graham et al 26 , Mukherjee et al 27 , Abbas et al 28 , Castagliola et al 29 , Godase et al 30 , and Mahadik and Godase 31 etc.…”

Section: Introductionmentioning

confidence: 99%

An enhanced nonparametric quality control chart with application related to industrial process

Abid,

Sun,

Shabbir

et al. 2024

Sci Rep

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In various practical situations, the information about the process distribution is sometimes partially or completely unavailable. In these instances, practitioners prefer to use nonparametric charts as they don’t restrict the assumption of normality or specific distribution. In this current article, a nonparametric double homogeneously weighted moving average control chart based on the Wilcoxon signed-rank statistic is developed for monitoring the location parameter of the process. The run-length profiles of the newly developed chart are obtained by using Monte Carlo simulations. Comparisons are made based on various performance metrics of run-length distribution among proposed and existing nonparametric counterparts charts. The extra quadratic loss is used to evaluate the overall performance of the proposed and existing charts. The newly developed scheme showed comparatively better results than its existing counterparts. For practical implementation of the suggested scheme, the real-world dataset related to the inside diameter of the automobile piston rings is also used.

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Section: Introductionmentioning

confidence: 99%

An enhanced nonparametric quality control chart with application related to industrial process

Abid,

Sun,

Shabbir

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Godase and Mahadik 24 proposed the CSC sign chart for process dispersion. Recently, Godase et al 25 proposed the EWMA sign charts for dispersion based on the in-control deciles of process distribution. The overviews on nonparametric control charts for process location and dispersion are provided by Chakraborti et al, 26 and Chakraborti and Graham.…”

Section: Introductionmentioning

confidence: 99%

“…Godase and Mahadik 24 proposed the CSC sign chart for process dispersion. Recently, Godase et al 25 . proposed the EWMA sign charts for dispersion based on the in‐control deciles of process distribution.…”

Section: Introductionmentioning

confidence: 99%

The two‐sided SPRT sign charts

Deore,

Mahadik,

Godase

2023

Quality & Reliability Eng

Self Cite

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A two‐sided nonparametric sequential probability ratio test (SPRT) control chart for process location is proposed. The mechanism of this chart is based on the SPRT for location based on the signs of the sequential observations that is extended for a two‐sided alternative hypothesis. Approximate expressions that relate the statistical performance measures of this chart with that of its corresponding one‐sided charts are obtained through a simulation study and are shown to be quite accurate. Furthermore, an approach to design the proposed chart is provided. The statistical performance of the proposed chart is numerically compared to that of the two‐sided Shewhart, cumulative sum, and exponentially weighted moving average sign charts for location and it is observed that in general the proposed chart significantly outperforms these charts for detecting a location shift of any size. An example is provided to illustrate the mechanism of the proposed chart. Also, the chart is extended for monitoring process dispersion.

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“…See Qiu 19 for an overview on nonparametric SPC. Some nonparametric or distribution-free control charts have been proposed to monitor changes in data dispersion, including those based on the squared rank test, 20,21 the sign statistic, [22][23][24] the Ansari-Bradley statistic, 25 and the statistic with a binomial distribution. 26,27 There are also nonparametric control charts that can jointly monitor process mean and dispersion, such as the ones based on the Lepage statistic [28][29][30][31][32] and the Cucconi statistic, [33][34][35] among others.…”

Section: Introductionmentioning

confidence: 99%

Novel nonparametric control charts for monitoring dispersion of count data

Wang,

Wu,

Qiu

2023

Quality & Reliability Eng

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Count data are common in practice. Statistical process control for count data thus has attracted much attention in recent years. Most existing methods on this topic focus on the detection of mean shifts of count data based on parametric modeling. However, their assumed parametric models (e.g., the Poisson probability model) are often invalid in practice due mainly to the potential impact of some latent confounding risk factors, which would lead to unreliable performance of the related control charts. In addition, it is highly desirable and important to monitor the dispersion of count data when the Poisson probability model is invalid. To this end, new nonparametric cumulative sum control charts and their corresponding self‐starting versions are suggested in this paper for monitoring the dispersion of count data based on data categorization and categorical data analysis. Numerical results show that the proposed method can provide more effective and robust monitoring of count data in comparison with some representative existing methods. A real‐data example is used to demonstrate its implementation and application.

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Deciles‐based EWMA‐type sign charts for process dispersion

Cited by 6 publications

References 53 publications

An enhanced nonparametric quality control chart with application related to industrial process

An enhanced nonparametric quality control chart with application related to industrial process

The two‐sided SPRT sign charts

Novel nonparametric control charts for monitoring dispersion of count data

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