Adjustment factors play a crucial role in Taguchi’s approach to robust parameter de-sign. However, the notion of adjustment factors is not well defined and ambiguities exist in the selection of those factors. In this article, we propose a criterion for selecting adjustment factors. This new criterion can be used to explain and extend Taguchi’s approach. The concept is illustrated using two examples. 1 1
The application of Taguchi's method of parameter design to the design of mechanical system
The analysis of robust parameter design is discussed via a model incorporating mean-variance relatio...
In parameter design experiments, it is common to fit a regression model to the original response and...
The factors of interest in designing a product or process can generally be classified into two categ...
Robust parameter design is an approach to quality improvement, introduced by Genichi Taguchi in Japa...
Reducing variation in key product features is a very important goal in process improvement. Finding ...
Keywords: robust design, cost of quality, parameter design, control factors, noise factors, signal t...
Robust parameter design is one of the most important tools for quality improvement. Quality problems...
Robust design aims at reducing the effects of variation on a design, without eliminating the variati...
This thesis consists of three independent parts. The first part is concerned with a graphical method...
This report is intended to facilitate dialogue between engineers and optimizers about the efficiency...
Standard factorial designs (one array) offer a cost-effective and information-efficient robust desig...
In process robustness studies, it is desirable to minimize the influence of noise factors on the sys...
Accepted by Technometrics. When there exists strong noise factors in the process, robust parameter d...
Keywords: robust design, cost of quality, parameter design, control factors, noise factors, signal t...
The application of Taguchi's method of parameter design to the design of mechanical system
The analysis of robust parameter design is discussed via a model incorporating mean-variance relatio...
In parameter design experiments, it is common to fit a regression model to the original response and...
The factors of interest in designing a product or process can generally be classified into two categ...
Robust parameter design is an approach to quality improvement, introduced by Genichi Taguchi in Japa...
Reducing variation in key product features is a very important goal in process improvement. Finding ...
Keywords: robust design, cost of quality, parameter design, control factors, noise factors, signal t...
Robust parameter design is one of the most important tools for quality improvement. Quality problems...
Robust design aims at reducing the effects of variation on a design, without eliminating the variati...
This thesis consists of three independent parts. The first part is concerned with a graphical method...
This report is intended to facilitate dialogue between engineers and optimizers about the efficiency...
Standard factorial designs (one array) offer a cost-effective and information-efficient robust desig...
In process robustness studies, it is desirable to minimize the influence of noise factors on the sys...
Accepted by Technometrics. When there exists strong noise factors in the process, robust parameter d...
Keywords: robust design, cost of quality, parameter design, control factors, noise factors, signal t...
The application of Taguchi's method of parameter design to the design of mechanical system
The analysis of robust parameter design is discussed via a model incorporating mean-variance relatio...
In parameter design experiments, it is common to fit a regression model to the original response and...
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