The Versatility of the Taguchi Method: Optimizing Experiments Across Diverse Disciplines

Abstract The Taguchi method, a robust experimental design technique, establishes a strong connection between input and output variables. Known for its capacity to yield precise results with fewer trials and minimized errors, this method has gained widespread application in various fields such as engineering, physics, chemistry, economics, finance, and more. In this paper, the authors examine the importance of the Taguchi orthogonal array method, its step-by-step optimization procedure, and its potential for future applications. Through a thorough literature review, the authors investigate how the Taguchi method has been effectively employed to identify key factors influencing response variables. The versatility of the Taguchi method becomes apparent when considering its applications across diverse disciplines. Researchers in engineering have successfully utilized this technique to optimize processes and enhance product quality. Furthermore, in scientific fields like physics and chemistry, the Taguchi method has proven invaluable for conducting experiments efficiently, resulting in more accurate and reproducible outcomes. Researchers gain critical insights into the effects of factors on the response variable by employing statistical tools such as mean analysis, variance analysis, and signal-to-noise ratio. The Taguchi method remains a valuable and broadly applicable tool for optimizing experiments and identifying influential factors across multiple disciplines. This paper’s extensive literature review emphasizes its significance in various fields and outlines the step-by-step procedure to leverage its potential for optimization.

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Publication Details

Journal
Journal of Statistical Theory and Applications
Published
2024-10-08
DOI
https://doi.org/10.1007/s44199-024-00093-9
Citations
91
Primary Topic
Optimal Experimental Design Methods
Type
article
Field-Weighted Citation Impact
44.63
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article

The Versatility of the Taguchi Method: Optimizing Experiments Across Diverse Disciplines

Amir Ahmad Dar, Imran Azad, Mohammad Shahfaraz Khan, Mohammed Wamique Hisam et al.
91 citations
Journal of Statistical Theory and Applications
Optimal Experimental Design Methods
44.63
article

The Versatility of the Taguchi Method: Optimizing Experiments Across Diverse Disciplines

Amir Ahmad Dar, Imran Azad, Mohammad Shahfaraz Khan, Mohammed Wamique Hisam, Mohammed Osman Elrasheed, Rajat Gera
article en
91 citations

Abstract

Abstract The Taguchi method, a robust experimental design technique, establishes a strong connection between input and output variables. Known for its capacity to yield precise results with fewer trials and minimized errors, this method has gained widespread application in various fields such as engineering, physics, chemistry, economics, finance, and more. In this paper, the authors examine the importance of the Taguchi orthogonal array method, its step-by-step optimization procedure, and its potential for future applications. Through a thorough literature review, the authors investigate how the Taguchi method has been effectively employed to identify key factors influencing response variables. The versatility of the Taguchi method becomes apparent when considering its applications across diverse disciplines. Researchers in engineering have successfully utilized this technique to optimize processes and enhance product quality. Furthermore, in scientific fields like physics and chemistry, the Taguchi method has proven invaluable for conducting experiments efficiently, resulting in more accurate and reproducible outcomes. Researchers gain critical insights into the effects of factors on the response variable by employing statistical tools such as mean analysis, variance analysis, and signal-to-noise ratio. The Taguchi method remains a valuable and broadly applicable tool for optimizing experiments and identifying influential factors across multiple disciplines. This paper’s extensive literature review emphasizes its significance in various fields and outlines the step-by-step procedure to leverage its potential for optimization.

Journal of Statistical Theory and ApplicationsVol. 23(4)
Lovely Professional University (IN), CMR University (IN), College of Applied Sciences, Nizwa (OM), Dhofar University (OM)
Openalex Percentile: Top 0%
Optimal Experimental Design Methods
44.63
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