The purpose of quality control charts is to detect abnormal behavior of quality variables and to determine the causes of quality problems using these abnormalities. Hotelling's T2 charts, the most popular multivariate quality control charts, are used to monitor several quality variables, simultaneously. In this study, Hotelling's T2 charts were applied to a melting process in a brass casting factory. A Hotelling's T2 chart was formed from multivariate data collected from the process when it was in control; then, the chart was applied to new process data. Chart signals that are out of control limits were analyzed, and associated root causes were investigated in order to improve the process. Mason-Young-Tracy decomposition method was employed...
Multivariate control charts based on the use of Hotelling T squared Statistic are a very useful tool...
Statistical quality control techniques are useful in monitoring the process behaviour. Attribute co...
In quality control (QC), control chart is one of the most effective tools to monitor the process and...
Kontrol çizelgelerinin kullanım amacı, bir süreçteki kalite değişkenlerinin normal dışı davranışları...
Traditional univariate control charts designed to monitor single variable quality characteristic hav...
The Quality of product is a major important in all kind of industries on the world to enhance the co...
Hotelling T2 control chart not only reflects the correla-tions between different quality characteris...
Wichita State University (Ph.D.)-- College of Engineering, Dept. of Industrial and Manufacturing Eng...
Recent advances in process monitoring technology have introduced an influx of exceptionally large da...
Statistical process control (SPC) is an important ingredient of quality management. SPC has evolved ...
The authors suggest multivariate methods for the construction of quality control charts for the cont...
One of the methods that is widespreadly used to monitor variability in a manufacturing process is co...
Multivariate control charts are becoming more important in the monitoring of processes in manufactur...
SPC (Statistical Process Control) is a method used to monitoring the process of identifying the caus...
Quality problems are observed in all the industries. It negatively affects productivity, brand image...
Multivariate control charts based on the use of Hotelling T squared Statistic are a very useful tool...
Statistical quality control techniques are useful in monitoring the process behaviour. Attribute co...
In quality control (QC), control chart is one of the most effective tools to monitor the process and...
Kontrol çizelgelerinin kullanım amacı, bir süreçteki kalite değişkenlerinin normal dışı davranışları...
Traditional univariate control charts designed to monitor single variable quality characteristic hav...
The Quality of product is a major important in all kind of industries on the world to enhance the co...
Hotelling T2 control chart not only reflects the correla-tions between different quality characteris...
Wichita State University (Ph.D.)-- College of Engineering, Dept. of Industrial and Manufacturing Eng...
Recent advances in process monitoring technology have introduced an influx of exceptionally large da...
Statistical process control (SPC) is an important ingredient of quality management. SPC has evolved ...
The authors suggest multivariate methods for the construction of quality control charts for the cont...
One of the methods that is widespreadly used to monitor variability in a manufacturing process is co...
Multivariate control charts are becoming more important in the monitoring of processes in manufactur...
SPC (Statistical Process Control) is a method used to monitoring the process of identifying the caus...
Quality problems are observed in all the industries. It negatively affects productivity, brand image...
Multivariate control charts based on the use of Hotelling T squared Statistic are a very useful tool...
Statistical quality control techniques are useful in monitoring the process behaviour. Attribute co...
In quality control (QC), control chart is one of the most effective tools to monitor the process and...