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Attribute charts for monitoring the mean vector of bivariate processes
(Wiley-Blackwell, 2015)
Monitoring bivariate and trivariate mean vectors with a Shewhart chart
(Wiley-Blackwell, 2017-12-01)
In this article, we propose the use of the mean chart to control multivariate processes. The basic idea is to control the mean vector of bivariate (X, Y) and trivariate (X, Y, Z) processes by alternating the charting ...
Monitoring bivariate and trivariate mean vectors with a Shewhart chart
(2017-12-01)
In this article, we propose the use of the mean chart to control multivariate processes. The basic idea is to control the mean vector of bivariate (X, Y) and trivariate (X, Y, Z) processes by alternating the charting ...
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 ...
X̄ chart with variable sample size and sampling intervals
(1997-04-01)
Recent theoretical studies have shown that the X̄ chart with variable sampling intervals (VSI) and the X̄ chart with variable sample size (VSS) are quicker than the traditional X̄ chart in detecting shifts in the process. ...
X̄ chart with variable sample size and sampling intervals
(1997-04-01)
Recent theoretical studies have shown that the X̄ chart with variable sampling intervals (VSI) and the X̄ chart with variable sample size (VSS) are quicker than the traditional X̄ chart in detecting shifts in the process. ...
Monitoring process mean and variability with one non-central chi-square chart
(Carfax Publishing, 2004-12-01)
Traditionally, an (X) over bar -chart is used to control the process mean and an R-chart to control the process variance. However, these charts are not sensitive to small changes in process parameters. A good alternative ...
Monitoring process mean and variability with one non-central chi-square chart
(Carfax Publishing, 2004-12-01)
Traditionally, an (X) over bar -chart is used to control the process mean and an R-chart to control the process variance. However, these charts are not sensitive to small changes in process parameters. A good alternative ...
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 ...
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 ...