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An approach to identify the interactions between the control factors in a Mahalanobis-Taguchi System

Labidi Amal, Tanabe Ikuo, Tanabe Yuko, Isobe Hiromi

Journal of Machine Engineering

2022

Vol. 22, No. 1

96--110

The Mahalanobis-Taguchi System (MTS) is, today, widely used to define the optimal conditions for the design stage of product development especially, in the field of Artificial Intelligence (AI) considering the non-linear properties and non-digital data. In this paper, an approach to identify the several interactions in a MTS is proposed. The MTS contains four methods; Mahalanobis-Taguchi (MT) method, Mahalanobis Taguchi Adjoint (MTA) method, Recognition Taguchi (RT) method and Taguchi (T) method. The method to use for the analysis is selected based on the system’s properties. For the case of study used in this research, the unit space is created through the RT method and used to calculate the Mahalanobis-Taguchi distances (MTD). For the method proposed in this paper, the relationships between control factors and MTDs were firstly clarified by MTS (RT), then the same relationships were clarified using a modified design of experiments method, and the several interactions between control factors in MTS (RT) were finally identified by comparing the two relationships. Then effectiveness of the proposed method was evaluated by using a mathematical model.

A study on extending technologies lifespan for the environment safety

Labidi Amal, Tanabe Ikuo, Takahashi Satoshi

Journal of Machine Engineering

2021

Vol. 21, No. 1

109--120

In recent decades, the technological devices have become a big burden for the environment. In fact, the production processes are depleting the natural resources and the end-of-life processes are emitting big amounts of heavy pollutants and toxic gases. Today, there is an agreement among researchers that the environmental issues must be considered from a life cycle perspective. In order to reduce the negative impacts of technologies on the environment, the best scenario would be to extend their lifespan. However, an old device, is usually linked to low performances, low profit for the manufacturer, additional reparation costs, high risks, etc. In this paper, the Double-Eco (DE) model, an evaluation platform of the compromise between the performances, cost, ecology, safety and lifespan is developed. Also, the environmental impacts of the lifespan are highlighted through the example of personal computers (PCs) and the DE model is applied to three types of grease lubrication as case of study. The results show that (1) evaluating a technology with all its aspects is efficient when deciding whether to extend its lifespan (2) based on the DE model, the lubrication with the longest lifespan has a better evaluation than the two other studied cases.