[[abstract]]In this paper, exponentially weighted moving average (EWMA) control charts for multinomial data are developed with a three-level classification scheme. The lower and upper control limits of the proposed EWMA control chart are evaluated using Markov chain approximation. Compared with the three-level Shewhart control chart, numerical results indicate that the proposed EWMA control chart is relatively sensitive to small shifts in a three-level multinomial process. A figure and a table are provided for practitioners to select the value of chart limit coefficient that gives the desired in-control average run length.[[notice]]補正完
The last 20 years have seen an increasing emphasis on statistical process control as a practical app...
In this paper, the design of a control chart is given using a modified exponentially weighted moving...
The main goal of this paper is to study Statistical Process Control (SPC) with Exponentially Weighte...
Statistical process monitoring (SPM) is mostly populated with univariate control charts used to moni...
In this paper, we propose a new multivariate control chart for monitoring several exponential distri...
Statistical process control is a procedure of quality control that is widely used in industrial proc...
Cataloged from PDF version of article.Control charts with exponentially weighted moving average (EWM...
For monitoring the stability of a process, various control charts based on exponentially weighted mo...
In this paper, two mixed control charts are designed for process monitoring when the quality charact...
Two popular sampling schemes have been used to design control charts by means of a modified exponent...
Purpose – The exponentially weighted moving average (EWMA) control charts are widely used in industr...
Abstract Measurement error (M.E) can have a substantial impact on quality control applications, dimi...
To date, numerous extensions of the exponentially weighted moving average, EWMA charts have been mad...
Abstract Control charts with exponentially weighted moving average (EWMA) statistics (mean and varia...
Exponentially weighted moving average control chart (EWMA) is a popular chart used for detecting shi...
The last 20 years have seen an increasing emphasis on statistical process control as a practical app...
In this paper, the design of a control chart is given using a modified exponentially weighted moving...
The main goal of this paper is to study Statistical Process Control (SPC) with Exponentially Weighte...
Statistical process monitoring (SPM) is mostly populated with univariate control charts used to moni...
In this paper, we propose a new multivariate control chart for monitoring several exponential distri...
Statistical process control is a procedure of quality control that is widely used in industrial proc...
Cataloged from PDF version of article.Control charts with exponentially weighted moving average (EWM...
For monitoring the stability of a process, various control charts based on exponentially weighted mo...
In this paper, two mixed control charts are designed for process monitoring when the quality charact...
Two popular sampling schemes have been used to design control charts by means of a modified exponent...
Purpose – The exponentially weighted moving average (EWMA) control charts are widely used in industr...
Abstract Measurement error (M.E) can have a substantial impact on quality control applications, dimi...
To date, numerous extensions of the exponentially weighted moving average, EWMA charts have been mad...
Abstract Control charts with exponentially weighted moving average (EWMA) statistics (mean and varia...
Exponentially weighted moving average control chart (EWMA) is a popular chart used for detecting shi...
The last 20 years have seen an increasing emphasis on statistical process control as a practical app...
In this paper, the design of a control chart is given using a modified exponentially weighted moving...
The main goal of this paper is to study Statistical Process Control (SPC) with Exponentially Weighte...