Quality management research by considering multi-response problems in the Taguchi method - a review

被引:147
作者
Jeyapaul, R [1 ]
Shahabudeen, P [1 ]
Krishnaiah, K [1 ]
机构
[1] Anna Univ, Dept Ind Engn, Madras 600025, Tamil Nadu, India
关键词
data envelopment analysis; fuzzy logic; grey relational analysis; multi-response; neural network; principle component analysis; Taguchi method;
D O I
10.1007/s00170-004-2102-y
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Off-line quality control is considered to be an effective approach to improve product quality at a relatively low cost. The Taguchi method is one of the conventional approaches for this purpose. Through this approach, engineers can determine a feasible combination of design parameters such that the variability of a product's response can be reduced and the mean is close to the desired target. Most previous applications of the Taguchi method only emphasize single-response problems, while the multi-response problems have received relatively little attention. However, several correlated quality characteristics of a product are usually considered for product quality by a consumer. Though a lot of research is being done on this subject, there is ample scope for applying quality by design concepts, especially when dealing with multi-response variables. This paper presents a literature review on solving multi-response problems in the Taguchi method.
引用
收藏
页码:1331 / 1337
页数:7
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