2014
DOI: 10.4028/www.scientific.net/amm.660.275
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Comparison Design of Experiment (DOE): Taguchi Method and Full Factorial Design in Surface Roughness

Abstract: Statistical quality improvement techniques such as design of experiments (DOE) and Taguchi methods form an essential part of the search for improved product performance. This paper applies both the Taguchi and full factorial design techniques to highlight the application and to compare the effectiveness of the Taguchi and full factorial design processes as applied on surface roughness. Besides that, to determine the optimal parameter setting for each factor in surface roughness. For this study, we used two dif… Show more

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Cited by 20 publications
(14 citation statements)
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“…It is shown that though there are little differences between the percent contributions of Taguchi and Factorial methods, Factorial method, due to its production of higher R‐square values, can be more applicable and the results can be more accurate. It was also confirmed by the results of another study, showing that Factorial method is better than Taguchi method since the mean square error is less and the parameter design of the Factorial method provides a simple, systematic and efficient methodology for optimization process.…”
Section: Resultsmentioning
confidence: 58%
“…It is shown that though there are little differences between the percent contributions of Taguchi and Factorial methods, Factorial method, due to its production of higher R‐square values, can be more applicable and the results can be more accurate. It was also confirmed by the results of another study, showing that Factorial method is better than Taguchi method since the mean square error is less and the parameter design of the Factorial method provides a simple, systematic and efficient methodology for optimization process.…”
Section: Resultsmentioning
confidence: 58%
“…Regression analysis allows predicting the value of the output intensity for better construction of a 3D shadow image when working with the instrument. The most important stage of building a regression model (regression equation) is the selection of the mathematical function form that most accurately defines the existing relations between the analyzed features [9][10][11]. In this case, intensity has been assigned as the depended attribute of the magnitude, and stress as the independent attribute respectively.…”
Section: Resultsmentioning
confidence: 99%
“…One of the most comprehensive approach in product or process developments is consider design of experiments (DOE). It is a statistical approach that attempts to provide a predictive knowledge of a complex, multi-variable process with few trials (Rafidah et al, 2014). One of statistical approach is Taguchi method that can optimize the process parameters and improve the quality of components that are manufactured.…”
Section: B Taguchi Methods Orthogonal Arraymentioning
confidence: 99%