Journal ArticleDOI
An Extended Nonparametric Exponentially Weighted Moving Average Sign Control Chart
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TLDR
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.Abstract:
Traditional control charts are established on the assumption that the observations of a process follow a normal or specific probability distribution. However, in many applications, there is insufficient information to justify this assumption. Thus, nonparametric control charts have been proposed in recent years and hold a significant place among statistical process control charts. Some of these charts are designed to monitor the location parameter, whereas others are available for the scale. The major advantage of these control charts is that the underlying process does not specifically assume normality or other specific distributions. In this paper, the nonparametric generally weighted moving average sign chart is developed to improve the detection capability in small process shifts. Simulation studies show that the nonparametric generally weighted moving average sign chart is not optimal in all scenarios but can compete with the nonparametric exponentially weighted moving average sign chart. Copyright © 2014 John Wiley & Sons, Ltd.read more
Citations
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Journal ArticleDOI
Nonparametric (distribution-free) control charts: An updated overview and some results
TL;DR: Both univariate and multivariate nonparametric control charts are reviewed, unlike the past reviews, which did not include the multivariate charts, here they are reviewed.
Journal ArticleDOI
Some perspectives on nonparametric statistical process control
TL;DR: Some perspectives on issues related to the robustness of conventional SPC charts and to the strengths and limitations of various nonparametric SPC chart proposed are given.
Journal ArticleDOI
A generally weighted moving average signed-rank control chart
Niladri Chakraborty,Subhabrata Chakraborti,Subhabrata Chakraborti,Schalk William Human,Narayanaswamy Balakrishnan +4 more
TL;DR: Research of the first author was supported in part by STATOMET at the University of Pretoria, South Africa and National Research Foundation through the SARChI Chair at the School of Pharmacy and Dentistry.
Journal ArticleDOI
An EWMA-type sign chart with exact run length properties
Philippe Castagliola,Kim Phuc Tran,Giovanni Celano,Athanasios C. Rakitzis,Petros Maravelakis +4 more
TL;DR: The methodology to compute the exact run length properties of the proposed chart and the algorithms to obtain the optimal chart parameters through the minimization of the out-of-control average run length are provided.
Journal ArticleDOI
A new nonparametric adaptive EWMA control chart with exact run length properties
TL;DR: A new nonparametric AEWMA-type chart for count data, based on the sign statistic (denoted as the CAEWMA SN chart), is proposed without requiring any parametric probability distribution for the underlying process.
References
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Book
Introduction to Statistical Quality Control
TL;DR: In this article, the authors present a survey of statistical process control and capability analysis techniques for improving the quality of a business process in the modern business environment, using a variety of techniques.
Journal ArticleDOI
Introduction to Statistical Quality Control
TL;DR: There are valuable points here; they are, however, generally too hard to find and some of them are undercut by the author’s misguided attempt to be “fair.”
Journal Article
Exponentially weighted moving average control schemes: Properties and enhancements
TL;DR: The recognition that an EWMA control scheme can be represented as a Markov chain allows its properties to be evaluated more easily and completely than has previously been done.
Journal ArticleDOI
Exponentially weighted moving average control schemes: properties and enhancements
James M. Lucas,Michael S. Saccucci,Robert V. Baxley,William H. Woodall,Hazem D. Maragh,Fedrick W. Faltin,Gerald J. Hahn,William T. Tucker,J. Stuart Hunter,John F. MacGregor,Thomas J. Harris +10 more
TL;DR: In this article, the authors evaluate the properties of an exponentially weighted moving average (EWMA) control scheme used to monitor the mean of a normally distributed process that may experience shifts away from the target value.
Journal ArticleDOI
The Generally Weighted Moving Average Control Chart for Detecting Small Shifts in the Process Mean
Shey-Huei Sheu,Tse-Chieh Lin +1 more
TL;DR: In this paper, a generalized control chart called the generally weighted moving average (GWMA) control chart was proposed and analyzed for detecting small shifts in the mean of a process, with time varying control limits to detect start-up shifts more sensitively.