Strengths and limitations of Taguchi's contributions to quality, manufacturing, and process engineering
S Maghsoodloo, G Ozdemir, V Jordan… - Journal of Manufacturing …, 2004 - Elsevier
This paper reviews Genichi Taguchi's contributions to the field of quality and manufacturing
engineering from both a statistical and an engineering viewpoint. His major contributions are …
engineering from both a statistical and an engineering viewpoint. His major contributions are …
Principles of robust design methodology
M Arvidsson, I Gremyr - Quality and Reliability Engineering …, 2008 - Wiley Online Library
The literature on robust design has focused chiefly on the development of methods for
identifying robust design solutions. In this paper we present a literature review of conflicts …
identifying robust design solutions. In this paper we present a literature review of conflicts …
Application of Taguchi-based design of experiments for industrial chemical processes
Abstract Design of experiment is the method, which is used at a very large scale to study the
experimentations of industrial processes. It is a statically approach where we develop the …
experimentations of industrial processes. It is a statically approach where we develop the …
Robust design for multiscale and multidisciplinary applications
The intent in robust design is to improve the quality of products and processes by reducing
their sensitivity to variations, thereby reducing the effects of variability without removing its …
their sensitivity to variations, thereby reducing the effects of variability without removing its …
Multiresponse robust design: a general framework based on combined array
D Romano, M Varetto, G Vicario - Journal of Quality Technology, 2004 - Taylor & Francis
Although multiple responses are quite common in practical applications, the robust design
problem is frequently dealt with by considering only one response. In this paper we present …
problem is frequently dealt with by considering only one response. In this paper we present …
Evaluation of product and process design robustness
Critical design decisions are commonly made throughout the product development process
assuming known material and process behavior. However, stochastic variation during …
assuming known material and process behavior. However, stochastic variation during …
Concurrent optimization of parameter and tolerance design based on the two-stage Bayesian sampling method
Researchers usually expect to reduce costs while improving product robustness in product
quality design. The concurrent optimization of parameter and tolerance design assumes that …
quality design. The concurrent optimization of parameter and tolerance design assumes that …
An integrated method of parameter design and tolerance design
W Li, CFJ Wu - Quality Engineering, 1999 - Taylor & Francis
Parameter design is a methodology that builds on ingenious engineering and statistical
ideas to improve a system (ie, product or process) by making its performance insensitive to …
ideas to improve a system (ie, product or process) by making its performance insensitive to …
Economic integration of design optimization
YJ Kim, BR Cho - Quality Engineering, 2000 - Taylor & Francis
Since Taguchi (1) introduced the concept of off-line quality contl. 01, it has drawn a great
deal of attention from the research community and it has been implemented widely in a …
deal of attention from the research community and it has been implemented widely in a …
Concurrent optimisation of parameter and tolerance design via computer simulation and statistical method
A Jeang, CL Chang - The International Journal of Advanced …, 2002 - Springer
This study optimises component parameters and component tolerances simultaneously via
computer simulation and response surface methodology (RSM). The approach first …
computer simulation and response surface methodology (RSM). The approach first …