and DSD-chart. Furthermore, the EWMA M-chart and V-chart can be plotted in one single figure. As for monitoring both process mean and process variability, the combined MEWMA and EWMA V-charts provide the best control procedure
Multivariate exponentially weighted moving average (MEWMA) charts are among the best control charts ...
Control charts for monitoring of process variance are developed based on Shewhart, exponentially wei...
The Exponentially Weighted Moving Average (EWMA) control chart is an effective tool for the detectio...
Statistical process monitoring (SPM) is mostly populated with univariate control charts used to moni...
A new control chart, namely, modified exponentially weighted moving average (EWMA) control chart, fo...
[[abstract]]A control chart is proposed to effectively monitor changes in the population variance-co...
In this paper, we propose a new multivariate control chart for monitoring several exponential distri...
[[abstract]]To effectively monitor small changes of variability of multivariate normal processes, a ...
In Statistical Process Control, a control chart is the most effective equipment for monitoring and i...
[[abstract]]Most of the existing control charts for monitoring multivariate process variability are ...
Monitoring for a change in the means of p \u3e 1 quality measurements is of interest. The performanc...
The control chart is widely used statistical process control(SPC) tool that searches for assignable ...
The Exponentially Weighted Moving Average (EWMA) control chart is an effective tool for the detectio...
When the production run is short and process parameters change frequently, it is difficult to monito...
Multivariate exponentially weighted moving average (MEWMA) charts are among the best control charts ...
Multivariate exponentially weighted moving average (MEWMA) charts are among the best control charts ...
Control charts for monitoring of process variance are developed based on Shewhart, exponentially wei...
The Exponentially Weighted Moving Average (EWMA) control chart is an effective tool for the detectio...
Statistical process monitoring (SPM) is mostly populated with univariate control charts used to moni...
A new control chart, namely, modified exponentially weighted moving average (EWMA) control chart, fo...
[[abstract]]A control chart is proposed to effectively monitor changes in the population variance-co...
In this paper, we propose a new multivariate control chart for monitoring several exponential distri...
[[abstract]]To effectively monitor small changes of variability of multivariate normal processes, a ...
In Statistical Process Control, a control chart is the most effective equipment for monitoring and i...
[[abstract]]Most of the existing control charts for monitoring multivariate process variability are ...
Monitoring for a change in the means of p \u3e 1 quality measurements is of interest. The performanc...
The control chart is widely used statistical process control(SPC) tool that searches for assignable ...
The Exponentially Weighted Moving Average (EWMA) control chart is an effective tool for the detectio...
When the production run is short and process parameters change frequently, it is difficult to monito...
Multivariate exponentially weighted moving average (MEWMA) charts are among the best control charts ...
Multivariate exponentially weighted moving average (MEWMA) charts are among the best control charts ...
Control charts for monitoring of process variance are developed based on Shewhart, exponentially wei...
The Exponentially Weighted Moving Average (EWMA) control chart is an effective tool for the detectio...