Accepted by Technometrics. When there exists strong noise factors in the process, robust parameter design alone may not be effective and a control strategy can be used to compensate for the effect of noise. In this article, a parameter design methodology in the presence of a feed-forward control is developed. In particular, performance measures for evaluating control factor settings in measurement systems, simple response systems, and multiple target systems are developed. Strategies for the design and analysis of experiments are discussed. The approach is illustrated using an example on gold plating
An unsuitable industrial process parameters setting can cause many product defects and unstable pro...
Robust design seeks to create manufacturing processes which are insensitive to the effects of variab...
Keywords: robust design, cost of quality, parameter design, control factors, noise factors, signal t...
Robust parameter design is an approach to quality improvement, introduced by Genichi Taguchi in Japa...
This thesis consists of three independent parts. The first part is concerned with a graphical method...
Robust parameter design is one of the most important tools for quality improvement. Quality problems...
The factors of interest in designing a product or process can generally be classified into two categ...
In process robustness studies, it is desirable to minimize the influence of noise factors on the sys...
In parameter design experiments, it is common to fit a regression model to the original response and...
Parameter design is an experimental design and analysis methodology for developing robust processes ...
Robust design (parameter design), originally proposed by Taguchi, is a quality engineering method fo...
Response surface designs for process robustness studies and robust parameter design have historicall...
Reducing variation in key product features is a very important goal in process improvement. Finding ...
AbstractRobust parameter design (RPD) is considered as a cost effective tool for reducing process va...
In this article, we provide a strategy for the simultaneous optimization of multiple responses. Case...
An unsuitable industrial process parameters setting can cause many product defects and unstable pro...
Robust design seeks to create manufacturing processes which are insensitive to the effects of variab...
Keywords: robust design, cost of quality, parameter design, control factors, noise factors, signal t...
Robust parameter design is an approach to quality improvement, introduced by Genichi Taguchi in Japa...
This thesis consists of three independent parts. The first part is concerned with a graphical method...
Robust parameter design is one of the most important tools for quality improvement. Quality problems...
The factors of interest in designing a product or process can generally be classified into two categ...
In process robustness studies, it is desirable to minimize the influence of noise factors on the sys...
In parameter design experiments, it is common to fit a regression model to the original response and...
Parameter design is an experimental design and analysis methodology for developing robust processes ...
Robust design (parameter design), originally proposed by Taguchi, is a quality engineering method fo...
Response surface designs for process robustness studies and robust parameter design have historicall...
Reducing variation in key product features is a very important goal in process improvement. Finding ...
AbstractRobust parameter design (RPD) is considered as a cost effective tool for reducing process va...
In this article, we provide a strategy for the simultaneous optimization of multiple responses. Case...
An unsuitable industrial process parameters setting can cause many product defects and unstable pro...
Robust design seeks to create manufacturing processes which are insensitive to the effects of variab...
Keywords: robust design, cost of quality, parameter design, control factors, noise factors, signal t...