Add to ORKGBlocking is a useful technique to control systematic variation in experiments. Robust parameter design is widely used as an effective tool to reduce process variability by appropriate selection of control factors to make the process insensitive to noise. In this paper, we propose and study a method for selecting the optimal blocked robust parameter designs when some of the control-by-noise interactions are included in the model. We then discuss how to search for the best designs according to this method and present some results for designs of 8 and 16 runs.Includes bibliographical references
Many experiments measure a response that cannot be adequately described by a linear model with norma...
This thesis consists of three independent parts. The first part is concerned with a graphical method...
Many experiments measure a response that cannot be adequately described by a linear model withnormal...
This is the peer reviewed version of the following article: “Grima, P, Marco, L, Tort-Martorell, X. ...
Robust parameter design is a statistical/engineering tool for performance variation reduction in ind...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006.Includ...
The analysis of robust parameter design is discussed via a model incorporating mean-variance relatio...
This paper presents a conceptually simple and resource efficient method for robust parameter design....
Robust parameter design is one of the most important tools for quality improvement. Quality problems...
In process robustness studies, it is desirable to minimize the influence of noise factors on the sys...
Robust parameter design is an approach to quality improvement, introduced by Genichi Taguchi in Japa...
The modeling of variation through interactions is appealing in crossed array design as it leads to g...
Reducing variation in key product features is a very important goal in process improvement. Finding ...
Accepted by Technometrics. When there exists strong noise factors in the process, robust parameter d...
The design of experiments involving more than one blocking factor and quantitative explanatory varia...
Many experiments measure a response that cannot be adequately described by a linear model with norma...
This thesis consists of three independent parts. The first part is concerned with a graphical method...
Many experiments measure a response that cannot be adequately described by a linear model withnormal...
This is the peer reviewed version of the following article: “Grima, P, Marco, L, Tort-Martorell, X. ...
Robust parameter design is a statistical/engineering tool for performance variation reduction in ind...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006.Includ...
The analysis of robust parameter design is discussed via a model incorporating mean-variance relatio...
This paper presents a conceptually simple and resource efficient method for robust parameter design....
Robust parameter design is one of the most important tools for quality improvement. Quality problems...
In process robustness studies, it is desirable to minimize the influence of noise factors on the sys...
Robust parameter design is an approach to quality improvement, introduced by Genichi Taguchi in Japa...
The modeling of variation through interactions is appealing in crossed array design as it leads to g...
Reducing variation in key product features is a very important goal in process improvement. Finding ...
Accepted by Technometrics. When there exists strong noise factors in the process, robust parameter d...
The design of experiments involving more than one blocking factor and quantitative explanatory varia...
Many experiments measure a response that cannot be adequately described by a linear model with norma...
This thesis consists of three independent parts. The first part is concerned with a graphical method...
Many experiments measure a response that cannot be adequately described by a linear model withnormal...