Title

A Comparison of the Mahalanobis-Taguchi System to Standard Statistical Methods for Defect Detection

Abstract

The Mahalanobis-Taguchi System is a diagnosis and forecasting method for multivariate data. Mahalanobis distance is a measure based on correlations between the variables and different patterns that can be identified and analyzed with respect to a base or reference group. This paper presents a comparison of the Mahalanobis-Taguchi System and a standard statistical technique for defect detection by identifying abnormalities. The objective of this research is to provide a method for defect detection with acceptable alpha (probability of type I) and beta (probability of type II) errors.

Department(s)

Mathematics and Statistics

Second Department

Engineering Management and Systems Engineering

Keywords and Phrases

Mahalanobis-Taguchi system; alpha error; beta error; diagnosis; forecasting; mahalanobis distance; multivariate

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2009 Iranian Institute of Industrial Engineering, All rights reserved.

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