An Approach to Identify the Interactions Between the Control Factors in a Mahalanobis -Taguchi System
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Department of Mechanical Engineering, Nagaoka University of Technology, Japan
School of Engineering, Sanjyo City University, Japan
Ikuo Tanabe   

Mechanical Engineering, Nagaoka University of Technology, 1603-1 Kamitomioka, Nagaoka, Niigata, 940-2188, Nagaoka, Japan
Submission date: 2021-09-27
Final revision date: 2021-12-20
Acceptance date: 2021-12-21
Online publication date: 2022-01-25
Publication date: 2022-03-30
Journal of Machine Engineering 2022;22(1):96–110
Mahalanobis-Taguchi System is, today, widely used to define the optimal conditions for the design stage of product development especially, in the field of Artificial Intelligence considering the non-linear properties and non-digital data. In this paper, an approach to determine the different interactions in a MTS is introduced and applied to a case of study. The MTS contains four methods; Mahalanobis-Taguchi method, Recognition Taguchi method and Taguchi method. The method to use for the analysis is selected based on the system’s properties. For the case of study in this research, the unit space is created through the RT method and used to calculate Mahalanobis-Taguchi distances. The proposed method in this paper consists on identifying the relationship between the control factors and the MTDs using the design of experiments and the optimal conditions identification program developed in a previous study. Then, identifying the interactions in the considered MTS based on this relationship.
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