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A side-sensitive synthetic chart combined with an X chart
(Taylor & Francis Ltd, 2014-06-03)
The synthetic chart combined with an chart (Synthetic- chart) signals when a sample point falls beyond the control limits or when a second point, not far from the first one, falls beyond the warning limits, no matter whether ...
A combined npx X control chart to monitor the process mean in a two-stage sampling
(Quality and Reliability Engineering International, 2023)
Attribute charts for monitoring the mean vector of bivariate processes
(Wiley-Blackwell, 2015-06-01)
This article proposes two Shewhart charts, denoted np(xy) and np(w) charts, which use attribute inspection to control the mean vector ((x); (y)) of bivariate processes. The units of the sample are classified as first-class, ...
The S chart with variable charting statistic to control bi and trivariate processes
(2017-11-01)
In this article, we propose the S chart with variable charting statistic to control the covariance matrix as an alternative to the use of the bivariate |S| chart and the trivariate VMAX chart. As usual, samples are regularly ...
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 ...
Adaptive sample size control charts for attributes
(2001-01-01)
Theoretical results have shown that the X̄ chart with variable sample sizes (VSS) is quicker than the traditional X̄ chart for detecting moderate shifts in the process. The idea is to make the sample size vary depending ...
Monitoring the process mean with a side-sensitive synthetic- X¯ chart
(2013-01-01)
Control charts are designed to detect assignable causes that may occur in production processes. They are very simple operationally; however, this operational simplicity, that is, taking samples of fixed size n at regular ...
Attribute charts for monitoring the mean vector of bivariate processes
(Wiley-Blackwell, 2015)
Attribute charts for monitoring the mean vector of bivariate processes
(Wiley-Blackwell, 2015)
The use of principal components and univariate charts to control multivariate processes
(2008-01-01)
In this article, we evaluate the performance of the T2 chart based on the principal components (PC chart) and the simultaneous univariate control charts based on the original variables (SU X̄ charts) or based on the principal ...