Mahalanobis Taguchi System: A Review
Abstract
Purpose -- The purpose of this paper is to present and analyze the current literature related to developing and improving the Mahalanobis-Taguchi system (MTS) and to present the shortcomings related to this method for future research.
Design/methodology/approach -- In this paper, articles in the literature are classified to give an overview on the MT strategy. For this purpose, 46 articles are considered for classification from 2000 to 2013 on the basis of: MTS contribution area, description of the issue, and results.
Findings -- In this paper a review on the concepts and operations of the MTS was provided as a new method in the field of pattern recognition, multivariable diagnosis, and forecasting. A large number of studies were performed in recent years consisting of developing MTS and MTS case studies. The analysis of the articles showed the fields of MTS which had more potential for future studies and developing. The comparison of the MTS to other methods and the selection of the normal group for constructing the Mahalanobis space have received the most attention by researchers. In addition, several studies concentrated on the use of other methods instead of design of experiments, finding applications for multiclass MTS and finding an alternative for the SN ratio.
Originality/value -- This paper contains the publications in the field of MTS chronologically and shows different areas for developing and case studies. It will be useful to researchers and professionals who are interested in pattern recognition, multivariate analysis, and forecasting.
Recommended Citation
E. Ghasemi et al., "Mahalanobis Taguchi System: A Review," International Journal of Quality and Reliability Management, vol. 32, no. 3, pp. 291 - 307, Emerald, Mar 2015.
The definitive version is available at https://doi.org/10.1108/IJQRM-02-2014-0024
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Design of experiments; Mahalanobis distance; Mahalanobis-Taguchi system; Multivariate analysis; Orthogonal arrays; Signal-to-noise ratio
International Standard Serial Number (ISSN)
0265-671X
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2015 Emerald, All rights reserved.
Publication Date
01 Mar 2015