we present Shewhart type Z ̅ and S2 control charts for monitoring individual or joint shifts in the scale and shape parameters of a Weibull distributed process. The advantage of this method is its ease of use and flexibility for the case where the process distribution is Weibull, although the method can be applied to any distribution. We illustrate the performance of our method through simulation and the application through the use of an actual data set. Our results indicate that Z ̅ and S2 control charts perform well in detecting shifts in the scale and shape parameters. We also provide a guide that would enable a user to interpret out-of-control signals
Nonparametric or distribution-free charts can be useful in statistical process control problems when...
[[abstract]]When the x bar chart is applied to monitor a manufacturing process, three parameters sho...
In this paper, we propose a new variable control chart under type II or failure-censored reliability...
In this paper, we present Shewhart type Z ̅ and S2 control charts for monitoring individual or joi...
This article presents deviation based exponentially weighted moving average control charts to monito...
A number of processes to which statistical control is applied are subject to various effects that ca...
Data availability has increased immensely in the past years, and so has the need for data analysis t...
Control charts are the tools of statistical process control for detecting a change in a process. The...
Although the Shewhart chart is widely used in practice because of its simplicity, applying this cont...
Recent studies proved that variable parameters (VP) X ̅ control charts not only detects process mean...
A new efficient process monitoring scheme has been developed for a process under which the quality c...
Shewhart control charts are among the most popular control charts used to monitor process dispersion...
The combined application of a Shewhart chart and cumulative sum (CUSUM) control chart is an effectiv...
[[abstract]]The paper develops two new control charts and process capability ratios based on the ske...
• The Shewhart control charts, used for monitoring industrial processes, are the most popular tools ...
Nonparametric or distribution-free charts can be useful in statistical process control problems when...
[[abstract]]When the x bar chart is applied to monitor a manufacturing process, three parameters sho...
In this paper, we propose a new variable control chart under type II or failure-censored reliability...
In this paper, we present Shewhart type Z ̅ and S2 control charts for monitoring individual or joi...
This article presents deviation based exponentially weighted moving average control charts to monito...
A number of processes to which statistical control is applied are subject to various effects that ca...
Data availability has increased immensely in the past years, and so has the need for data analysis t...
Control charts are the tools of statistical process control for detecting a change in a process. The...
Although the Shewhart chart is widely used in practice because of its simplicity, applying this cont...
Recent studies proved that variable parameters (VP) X ̅ control charts not only detects process mean...
A new efficient process monitoring scheme has been developed for a process under which the quality c...
Shewhart control charts are among the most popular control charts used to monitor process dispersion...
The combined application of a Shewhart chart and cumulative sum (CUSUM) control chart is an effectiv...
[[abstract]]The paper develops two new control charts and process capability ratios based on the ske...
• The Shewhart control charts, used for monitoring industrial processes, are the most popular tools ...
Nonparametric or distribution-free charts can be useful in statistical process control problems when...
[[abstract]]When the x bar chart is applied to monitor a manufacturing process, three parameters sho...
In this paper, we propose a new variable control chart under type II or failure-censored reliability...