Mahalanobis-Taguchi System Applications in Data Classification and Optimization Publication Trend The graph below shows the total number of publications each year in Mahalanobis-Taguchi System ...

The Taguchi Method is a statistical approach to experimental design that helps optimize processes and products while minimizing the number of required experiments. Unlike traditional full factorial ...

In this program, using a new optimization method based on the Taguchi method, the problem of soil improvement has been done according to the Persian article in the same field, and also for accuracy, ...

To enhance the cost effectiveness of regression testing, this paper proposes a method for prioritizing test cases. In general, a test case can be evaluated from various different points of view, ...

How does the Taguchi Method benefit your organization? Design of Experiments (DOE) full or fractional factorial designs find the optimal combination of factors and levels for your process. But, it ...

A modified Taguchi Method (TM), in combination with a node priority list, is proposed to solve the problem in a minimum number of experiments. Nevertheless, the standard TM is computationally fast but ...

The Taguchi Method emphasizes robust design while considering customer satisfaction. It leverages experience and historical data to create better, cheaper products.