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A synthetic control chart for monitoring the process mean and variance
(2006-04-10)
Purpose - The aim of this paper is to present a synthetic chart based on the non-central chi-square statistic that is operationally simpler and more effective than the joint X̄ and R chart in detecting assignable cause(s). ...
An adaptive chart for monitoring the process mean and variance
(Wiley-Blackwell, 2007-11-01)
Traditionally, an (X) over bar chart is used to control the process mean and an R chart is used to control the process variance. However, these charts are not sensitive to small changes in the process parameters. The ...
Control charts for monitoring the mean vector and the covariance matrix of bivariate processes
(Springer London Ltd, 2009-12-01)
In this article, we propose new control charts for monitoring the mean vector and the covariance matrix of bivariate processes. The traditional tools used for this purpose are the T (2) and the |S| charts. However, these ...
Control charts for monitoring the mean vector and the covariance matrix of bivariate processes
(Springer London Ltd, 2009-12-01)
In this article, we propose new control charts for monitoring the mean vector and the covariance matrix of bivariate processes. The traditional tools used for this purpose are the T (2) and the |S| charts. However, these ...
Combining K-Means and K-Harmonic with Fish School Search Algorithm for data clustering task on graphics processing units
(2016-04-01)
Data clustering is related to the split of a set of objects into smaller groups with common features. Several optimization techniques have been proposed to increase the performance of clustering algorithms. Swarm Intelligence ...
Monitoring bivariate processes
(2009-09-01)
The T2 chart and the generalized variance |S| chart are the usual tools for monitoring the mean vector and the covariance matrix of multivariate processes. The main drawback of these charts is the difficulty to obtain and ...
Monitoring bivariate processes
(2009-09-01)
The T2 chart and the generalized variance |S| chart are the usual tools for monitoring the mean vector and the covariance matrix of multivariate processes. The main drawback of these charts is the difficulty to obtain and ...
A single chart with supplementary runs rules for monitoring the mean vector and the covariance matrix of multivariate processes
(2013-08-15)
The MRMAX chart is a single chart based on the standardized sample means and sample ranges for monitoring the mean vector and the covariance matrix of multivariate processes. User's familiarity with the computation of these ...