We present a case study in monitoring a high-volume production process with a high yield. Testing the products is difficult and is only possible in a destructive way with a defect/no-defect result. We review several attribute charting procedures for high-yield processes. It turns out that monitoring the number of conforming items between the occurrence of non-conforming items is appropriate. We discuss several implementation aspects of CCCr charts in our case study. The implementation is based on a new formula for the standard deviation of the number of inspected items before a signal
The procedure of on-line process control by attributes, known as Taguchi`s on-line process control, ...
A count of the number of defects is often used to monitor the quality of a production process. When ...
AbstractIn a high quality process, the fraction of nonconforming is very low. In this area, standard...
We present a case study in monitoring a high-volume production process with a high yield. Testing th...
In this paper, a two stage control chart for monitoring the defective rate of high-yield processes i...
Two commonly used statistical quality control charts, the c-chart and u-chart, are unsatisfactory fo...
Traditional attribute control charts are based on the monitoring of the number of nonconforming item...
Click on the DOI link below to access the article (may not be free).Cumulative conformance count (CC...
In high-yields process monitoring, the Geometric distribution is particularly useful to control the ...
[[abstract]]Due to the development of high-quality manufacturing processes, a cumulative count of co...
Over the last decade, there have been an increasing interest in the techniques of process monitoring...
Abstract. Borror et al. discussed the EWMA(Exponentially Weighted Moving Average) chart to monitor t...
CCC-r control chart is a monitoring technique for high yield processes. It is based on the analysis ...
For some repetitive production processes, the quality measure taken on the output is an attribute va...
Includes bibliographical references (p. 263-269).Our objective in this work is to monitor a producti...
The procedure of on-line process control by attributes, known as Taguchi`s on-line process control, ...
A count of the number of defects is often used to monitor the quality of a production process. When ...
AbstractIn a high quality process, the fraction of nonconforming is very low. In this area, standard...
We present a case study in monitoring a high-volume production process with a high yield. Testing th...
In this paper, a two stage control chart for monitoring the defective rate of high-yield processes i...
Two commonly used statistical quality control charts, the c-chart and u-chart, are unsatisfactory fo...
Traditional attribute control charts are based on the monitoring of the number of nonconforming item...
Click on the DOI link below to access the article (may not be free).Cumulative conformance count (CC...
In high-yields process monitoring, the Geometric distribution is particularly useful to control the ...
[[abstract]]Due to the development of high-quality manufacturing processes, a cumulative count of co...
Over the last decade, there have been an increasing interest in the techniques of process monitoring...
Abstract. Borror et al. discussed the EWMA(Exponentially Weighted Moving Average) chart to monitor t...
CCC-r control chart is a monitoring technique for high yield processes. It is based on the analysis ...
For some repetitive production processes, the quality measure taken on the output is an attribute va...
Includes bibliographical references (p. 263-269).Our objective in this work is to monitor a producti...
The procedure of on-line process control by attributes, known as Taguchi`s on-line process control, ...
A count of the number of defects is often used to monitor the quality of a production process. When ...
AbstractIn a high quality process, the fraction of nonconforming is very low. In this area, standard...