[[abstract]]We consider the quality of a process, which can be characterized by a simple linear Berkson profile. One existing approach for monitoring the simple linear profile and two new proposed schemes are studied for charting the simple linear Berkson profile. Simulation studies demonstrate the effectiveness and efficiency of one of the proposed monitoring schemes. In addition, a systematic diagnostic approach is provided to spot the change point location of the process and to identify the parameter of change in the profile. Finally, an example from semiconductor manufacturing is used to illustrate the implementation of the proposed monitoring scheme and diagnostic approach.[[incitationindex]]SCI[[booktype]]電子版[[booktype]]紙
AbstractIn certain statistical process control applications, the quality of a process or a product c...
Abstract Sometimes, the quality of a process or product can be characterized by a relationship betwe...
[[abstract]]In some applications, the quality of a process or product is best characterized by a fun...
[[abstract]]We consider the quality of a process, which can be characterized by a simple linear Berk...
[[abstract]]We consider the quality of a process which can be characterized by a general linear prof...
[[abstract]]In this article we consider the quality of a process which can be characterized by a gen...
[[abstract]]Profile monitoring is a technique to test the stability of the relationship between a re...
In this study, two new integrated control charts, named T2-MAE chart and MS-MAE chart, are introduce...
We propose a statistical process control scheme that can be implemented in industrial practice, in w...
Statistical process control methods for monitoring processes with univariate or multivariate measure...
In some statistical process control applications, quality of a process or product can be characteriz...
We propose a statistical process control (SPC) scheme that can be imple-mented in industrial practic...
[[abstract]]If the quality of a process is better represented by a functional relationship between r...
Purpose: In profile monitoring, which is a growing research area in the field of statistical process...
The purpose of profile monitoring is to check the stability over time of relationships between respo...
AbstractIn certain statistical process control applications, the quality of a process or a product c...
Abstract Sometimes, the quality of a process or product can be characterized by a relationship betwe...
[[abstract]]In some applications, the quality of a process or product is best characterized by a fun...
[[abstract]]We consider the quality of a process, which can be characterized by a simple linear Berk...
[[abstract]]We consider the quality of a process which can be characterized by a general linear prof...
[[abstract]]In this article we consider the quality of a process which can be characterized by a gen...
[[abstract]]Profile monitoring is a technique to test the stability of the relationship between a re...
In this study, two new integrated control charts, named T2-MAE chart and MS-MAE chart, are introduce...
We propose a statistical process control scheme that can be implemented in industrial practice, in w...
Statistical process control methods for monitoring processes with univariate or multivariate measure...
In some statistical process control applications, quality of a process or product can be characteriz...
We propose a statistical process control (SPC) scheme that can be imple-mented in industrial practic...
[[abstract]]If the quality of a process is better represented by a functional relationship between r...
Purpose: In profile monitoring, which is a growing research area in the field of statistical process...
The purpose of profile monitoring is to check the stability over time of relationships between respo...
AbstractIn certain statistical process control applications, the quality of a process or a product c...
Abstract Sometimes, the quality of a process or product can be characterized by a relationship betwe...
[[abstract]]In some applications, the quality of a process or product is best characterized by a fun...