Mahalanobis Taguchi system: a review

Author:

Ghasemi Elham,Aaghaie Abdollah,Cudney Elizabeth A.

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.

Publisher

Emerald

Subject

Strategy and Management,General Business, Management and Accounting

Reference48 articles.

1. Abbasi, S.E. , Aaghaie, A. and Fazlali, M. (2011), “Applying Mahalanobis-Tagouchi system in detection of high risk customers – a case-based study in an insurance company”, Journal of Industrial Engineering , Vol. 45 No. 2, pp. 1-12.

2. Cudney, E.A. , Drain, D. , Paryani, K. and Sharma, N. (2009), “A comparison of the Mahalanobis-Taguchi system to a standard statistical method for defect detection”, Journal of Industrial and Systems Engineering , Vol. 2 No. 4, pp. 250-258.

3. Cudney, E.A. , Hong, J. , Jugulum, R. , Paryani, K. , Ragsdell, K.M. and Taguchi, G. (2007), “An evaluation of Mahalanobis-Taguchi system and neural network for multivariate pattern recognition”, Journal of Industrial and Systems Engineering , Vol. 1 No. 2, pp. 139-150.

4. Cudney, E.A. , Paryani, K. and Ragsdell, K.M. (2006), “Applying the Mahalanobis-Taguchi system to vehicle handling”, Concurrent Engineering , Vol. 14 No. 4, pp. 343-354.

5. Cudney, E.A. , Paryani, K. and Ragsdell, K.M. (2008), “Identifying useful variables for vehicle braking using the adjoint matrix approach to the Mahalanobis-Taguchi system”, Journal of Industrial and Systems Engineering , Vol. 1 No. 4, pp. 281-292.

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