Journal ArticleDOI
A nonparametric triple exponentially weighted moving average sign control chart
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This article is published in Quality and Reliability Engineering International.The article was published on 2021-06-01. It has received 22 citations till now. The article focuses on the topics: Sign (mathematics).read more
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Quality and Reliability Engineering International
TL;DR: The Journal is indexed by Academic Search (EBSCO Publishing), Academic Search Alumni Edition (AALE), EBSCO publishing, Advanced Technologies & Aerospace Database (ProQuest), COMPENDEX (Elsevier), Current
Journal ArticleDOI
A critique of a variety of “memory-based” process monitoring methods
TL;DR: Many extensions and modifications have been made to standard process monitoring methods such as the exponentially weighted moving average (EWMA) chart and the cumulative sum (CUSUM) chart as mentioned in this paper , usually to put greater emphasis on past data and less weight on current and recent data.
Journal ArticleDOI
Distribution-free triple EWMA control chart for monitoring the process location using the Wilcoxon rank-sum statistic with fast initial response feature
Tokelo Irene Letshedi,Jean-Claude Malela-Majika,Philippe Castagliola,Sandile Charles Shongwe +3 more
Journal Article
A non-parametric exponentially weighted a moving average signed-rank chart for monitoring location
TL;DR: An extensive simulation study is done on the performance of the two-sided NPEWMA-SR chart including a detailed comparison with a number of existing control charts, including the traditional EWMA chart for subgroup averages and some nonparametric charts i.e. runs-rules enhanced Shewhart-type SR charts.
Journal ArticleDOI
An Efficient Robust Nonparametric Triple EWMA Wilcoxon Signed-Rank Control Chart for Process Location
Zahid Rasheed,Zahid Rasheed,Hongying Zhang,Muhammad Arslan,Babar Zaman,Syed Masroor Anwar,Muhammad Abid,Saddam Akber Abbasi +7 more
TL;DR: In this paper, the authors designed an advanced form of NP TEWMA Wilcoxon signed-rank based on RSS, denoted as control chart to identify a shift in the process location parameter.
References
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Journal ArticleDOI
Distribution-free exponentially weighted moving average control charts for monitoring unknown location
TL;DR: A two-sided nonparametric Phase II exponentially weighted moving average (EWMA) control chart, based on the exceedance statistics, is proposed in this paper for detecting a shift in the location parameter of a continuous distribution.
Journal ArticleDOI
A nonparametric exponentially weighted moving average signed-rank chart for monitoring location
TL;DR: In this article, a Markov chain approach is used to compute the run-length distribution and the associated performance characteristics of the two-sided NPEWMA-SR chart, and detailed guidelines and recommendations for selecting the chart's design parameters for practical implementation are provided along with illustrative examples.
Journal ArticleDOI
A nonparametric exponentially weighted moving average control scheme
Raid W. Amin,Alice J. Searcy +1 more
TL;DR: In this article, the authors proposed a nonparametric control procedure that can be used when the underlying distribution is not know there is not enough information on the variance or shape of the distribution.
Journal ArticleDOI
An Extended Nonparametric Exponentially Weighted Moving Average Sign Control Chart
TL;DR: In this paper, the nonparametric generally weighted moving average sign chart is developed to improve the detection capability in small process shifts and can compete with theNonparametric exponentially weighted movingAverage sign chart.
Journal ArticleDOI
A new non-parametric CUSUM mean chart
Su-Fen Yang,Smiley W. Cheng +1 more
TL;DR: In this paper, a new non-parametric CUSUM Mean Chart is proposed to monitor the possible small mean shifts in the process and showed better detection ability than the two existing charts in monitoring and detecting small process mean shifts.