A simple algorithm is introduced for computing the run length distribution of a monitoring scheme combining a Shewhart chart with an Exponentially Weighted Moving Average control chart. The algorithm is based on the numerical approximation of the integral equations and integral recurrence relations related to the run-length distribution. In particular, a modified Clenshaw-Curtis quadrature rule is applied for handling discontinuities in the integrand function due to the simultaneous use of the two control schemes. The proposed algorithm, implemented in R and publicy available, compares favourably with the Markov chain approach originally used to approximate the run length properties of the combined Shewhart-EWMA
In this paper, the design of a control chart is given using a modified exponentially weighted moving...
The Shewhart R–and S–charts are often used to monitor the variability of a quality characteristic of...
Control charts are extensively used in processes and are very helpful in determining the special cau...
A simple algorithm is introduced for computing the run length distribution of a monitoring scheme...
A simple algorithm is introduced for computing the run length distribution of a monitoring scheme co...
Champ and Woodall (1987) introduced a technique for analyzing the run length distribution of a Shewh...
This research presents the approach of estimating the average run length (ARL) by using the numerica...
This paper investigates the Shewhart (Formula presented.) chart with estimated parameters. When para...
The run sum control chart is a simple but powerful procedure for monitoring the mean of a process. W...
A class of Shewhart-type distribution-free control charts is considered. A key advantage of these ch...
The exponentially weighted moving average (EWMA) control chart is typically designed assuming that s...
We introduce a general theoretical framework, based on the Markov chain imbedding approach, that lea...
Supplementary runs rules have often been suggested for use with Shewhart control charts. For a given...
The run sum (RS) X and exponentially weighted moving average (EWMA) X charts are very effective in d...
Exponentially weighted moving average control chart (EWMA) is a popular chart used for detecting shi...
In this paper, the design of a control chart is given using a modified exponentially weighted moving...
The Shewhart R–and S–charts are often used to monitor the variability of a quality characteristic of...
Control charts are extensively used in processes and are very helpful in determining the special cau...
A simple algorithm is introduced for computing the run length distribution of a monitoring scheme...
A simple algorithm is introduced for computing the run length distribution of a monitoring scheme co...
Champ and Woodall (1987) introduced a technique for analyzing the run length distribution of a Shewh...
This research presents the approach of estimating the average run length (ARL) by using the numerica...
This paper investigates the Shewhart (Formula presented.) chart with estimated parameters. When para...
The run sum control chart is a simple but powerful procedure for monitoring the mean of a process. W...
A class of Shewhart-type distribution-free control charts is considered. A key advantage of these ch...
The exponentially weighted moving average (EWMA) control chart is typically designed assuming that s...
We introduce a general theoretical framework, based on the Markov chain imbedding approach, that lea...
Supplementary runs rules have often been suggested for use with Shewhart control charts. For a given...
The run sum (RS) X and exponentially weighted moving average (EWMA) X charts are very effective in d...
Exponentially weighted moving average control chart (EWMA) is a popular chart used for detecting shi...
In this paper, the design of a control chart is given using a modified exponentially weighted moving...
The Shewhart R–and S–charts are often used to monitor the variability of a quality characteristic of...
Control charts are extensively used in processes and are very helpful in determining the special cau...
Add to ORKG