[[abstract]]The paper develops two new control charts and process capability ratios based on the skew normal distribution to monitor the process average and evaluate the process capability of non-normal data. Both control charts reduce to Shewhart-type control charts when the underlying distribution of quality characteristic is symmetric. A simulation study is conducted to compare the performances of the proposed control charts with those of existing control charts. Simulation results indicate that considerable improvement over those of existing control charts can be achieved when the proposed control charts are used to monitor the process average of non-normal data. Two examples are presented for illustration.[[notice]]待補摘要[[journaltype]]國...
On-line Statistical Process Control (SPC) monitoring the ratio Z of two normal variables X and Y has...
Averaging functions are used in many research areas such as decision making, image processing, patte...
In this article, we have highlighted limitations of existing structures of control chart for unknown...
Abstract: This paper proposes a skewness correction (SC) method for constructing the X and R contro...
Although the Shewhart chart is widely used in practice because of its simplicity, applying this cont...
In this study, some important issues regarding process capability and performance have been highligh...
Recent studies proved that variable parameters (VP) X ̅ control charts not only detects process mean...
This article examines the effects of non-normality as measured by skewness and provides an alternati...
The presence of asymmetric data in production processes or service operations has prompted the devel...
A Shewhart chart based on normality assumption is not appropriate for skewed distributions since its...
This article proposes a multivariate synthetic control chart for skewed populations based on the wei...
Control charts play a vital role to enhance the efficiency of the manufacturing process. In many sit...
In this article, we have highlighted limitations of existing structures of (Formula presented.) cont...
In many statistical process control (SPC) applications, the ease of use of control charts leads to ...
A number of processes to which statistical control is applied are subject to various effects that ca...
On-line Statistical Process Control (SPC) monitoring the ratio Z of two normal variables X and Y has...
Averaging functions are used in many research areas such as decision making, image processing, patte...
In this article, we have highlighted limitations of existing structures of control chart for unknown...
Abstract: This paper proposes a skewness correction (SC) method for constructing the X and R contro...
Although the Shewhart chart is widely used in practice because of its simplicity, applying this cont...
In this study, some important issues regarding process capability and performance have been highligh...
Recent studies proved that variable parameters (VP) X ̅ control charts not only detects process mean...
This article examines the effects of non-normality as measured by skewness and provides an alternati...
The presence of asymmetric data in production processes or service operations has prompted the devel...
A Shewhart chart based on normality assumption is not appropriate for skewed distributions since its...
This article proposes a multivariate synthetic control chart for skewed populations based on the wei...
Control charts play a vital role to enhance the efficiency of the manufacturing process. In many sit...
In this article, we have highlighted limitations of existing structures of (Formula presented.) cont...
In many statistical process control (SPC) applications, the ease of use of control charts leads to ...
A number of processes to which statistical control is applied are subject to various effects that ca...
On-line Statistical Process Control (SPC) monitoring the ratio Z of two normal variables X and Y has...
Averaging functions are used in many research areas such as decision making, image processing, patte...
In this article, we have highlighted limitations of existing structures of control chart for unknown...