Cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) control charts are commonly used to detect small changes in the parameters of production processes. Recently, a new control structure was introduced, named as mixed EWMA–CUSUM control chart, which combined both charts. The current study provides a detailed comparison of these three types of control charts when the process parameters are unknown under normal and contaminated normal environments. Performance measures average run length and different percentiles of run length distribution are used for comparison purposes. We investigate six different location estimators with the structures of the three memory charts and study their robustness properties
Statistical process control (SPC) consists of various tools for effective monitoring of the producti...
The purpose of this research is to enhance performance for detecting a change in process mean by com...
Control charts are commonly used to monitor a process to detect undesirable changes. The main goal o...
Control charts are statistical tools widely used to monitor changes in the parameters of production ...
Control charts have been broadly used for monitoring the process mean and dispersion. Cumulative sum...
Control charts are the most extensively used technique to detect the presence of special cause varia...
The control chart is a very popular tool of statistical process control. It is used to determine the...
Control charts are extensively used in processes and are very helpful in determining the special cau...
This article develops an exponentially weighted moving average (EWMA) control chart using an auxilia...
The exponentially weighted moving average (EWMA) control chart is typically designed assuming that s...
Cumulative sum (CUSUM) control charts are very effective in detecting special causes. In general, th...
In today’s world, the amount of available data is steadily increasing, and it is often of interest t...
When in-control process parameters are estimated, this can have a substantial effect on the control ...
Every industrial process has to encounter two types of variation in product characteristic(s) that c...
In Statistical Process Control, a control chart is the most effective equipment for monitoring and i...
Statistical process control (SPC) consists of various tools for effective monitoring of the producti...
The purpose of this research is to enhance performance for detecting a change in process mean by com...
Control charts are commonly used to monitor a process to detect undesirable changes. The main goal o...
Control charts are statistical tools widely used to monitor changes in the parameters of production ...
Control charts have been broadly used for monitoring the process mean and dispersion. Cumulative sum...
Control charts are the most extensively used technique to detect the presence of special cause varia...
The control chart is a very popular tool of statistical process control. It is used to determine the...
Control charts are extensively used in processes and are very helpful in determining the special cau...
This article develops an exponentially weighted moving average (EWMA) control chart using an auxilia...
The exponentially weighted moving average (EWMA) control chart is typically designed assuming that s...
Cumulative sum (CUSUM) control charts are very effective in detecting special causes. In general, th...
In today’s world, the amount of available data is steadily increasing, and it is often of interest t...
When in-control process parameters are estimated, this can have a substantial effect on the control ...
Every industrial process has to encounter two types of variation in product characteristic(s) that c...
In Statistical Process Control, a control chart is the most effective equipment for monitoring and i...
Statistical process control (SPC) consists of various tools for effective monitoring of the producti...
The purpose of this research is to enhance performance for detecting a change in process mean by com...
Control charts are commonly used to monitor a process to detect undesirable changes. The main goal o...