In this paper, mathematical investigation has been made to study the effect of double exponentially weighted moving average (DEWMA) model on economic design of X control chart for non-normal population. Formulae are derived for calculating the value of n and h when the characteristics of an item posses DEWMA model. The sample mean of DEWMA model has been represented by first four terms of an Edgeworth series. A numerical example is given to verify the performance of DEWMA model in the presence of non-normality. The DEWMA charts working together with non-normality affects the control chart scheme when small to moderate shifts in the mean of the controlled parameter are expected. It is found that when shifts are uncertain the optimal design f...
The multivariate exponentially weighted moving average (MEWMA) control chart has received significan...
In this paper, Gamma(lambda, 2) distribution is considered as a failure model for the economic stati...
Recent studies proved that variable parameters (VP) X ̅ control charts not only detects process mean...
Designing of parameters plays an important role in economic design of control charts for lowering th...
Exponentially weighted moving average (EWMA) and double EWMA (DEWMA) control charts were designed un...
This study extends the generally weighted moving average (GWMA) control chart by imitating the doubl...
Control charts with exponentially weighted moving average (EWMA) statistics (mean and variance) are ...
Abstract In this article, we have proposed an economic design of Exponentially Weighted Moving Avera...
Purpose – The exponentially weighted moving average (EWMA) control charts are widely used in industr...
When the production run is short and process parameters change frequently, it is difficult to monito...
Control chart is a useful statistical tool for the production process control to maintain the produc...
[[abstract]]When the x bar chart is applied to monitor a manufacturing process, three parameters sho...
Teknik carta kawalan telah digunakan secara meluas dalam industri untuk mengawal kualiti proses pen...
For monitoring the stability of a process, various control charts based on exponentially weighted mo...
This paper presents an economic design of X control charts with variable sample sizes, variable samp...
The multivariate exponentially weighted moving average (MEWMA) control chart has received significan...
In this paper, Gamma(lambda, 2) distribution is considered as a failure model for the economic stati...
Recent studies proved that variable parameters (VP) X ̅ control charts not only detects process mean...
Designing of parameters plays an important role in economic design of control charts for lowering th...
Exponentially weighted moving average (EWMA) and double EWMA (DEWMA) control charts were designed un...
This study extends the generally weighted moving average (GWMA) control chart by imitating the doubl...
Control charts with exponentially weighted moving average (EWMA) statistics (mean and variance) are ...
Abstract In this article, we have proposed an economic design of Exponentially Weighted Moving Avera...
Purpose – The exponentially weighted moving average (EWMA) control charts are widely used in industr...
When the production run is short and process parameters change frequently, it is difficult to monito...
Control chart is a useful statistical tool for the production process control to maintain the produc...
[[abstract]]When the x bar chart is applied to monitor a manufacturing process, three parameters sho...
Teknik carta kawalan telah digunakan secara meluas dalam industri untuk mengawal kualiti proses pen...
For monitoring the stability of a process, various control charts based on exponentially weighted mo...
This paper presents an economic design of X control charts with variable sample sizes, variable samp...
The multivariate exponentially weighted moving average (MEWMA) control chart has received significan...
In this paper, Gamma(lambda, 2) distribution is considered as a failure model for the economic stati...
Recent studies proved that variable parameters (VP) X ̅ control charts not only detects process mean...