Eventos Anais de eventos
COBEM 2017
24th ABCM International Congress of Mechanical Engineering
Application of Taguchi's Loss Function and Signal-to-Noise Ratio
Submission Author:
Lucas Lamy , PR
Co-Authors:
Lucas Lamy, Anselmo Chaves Neto
Presenter: Lucas Lamy
doi://10.26678/ABCM.COBEM2017.COB17-1497
Abstract
Genichi Taguchi revolutionized the Japanese economy through his ideas in quality engineering, showing the quadratic loss function and the signal-to-noise ratio. The Loss Functions was a great advanced in quality engineering as it managed to improve and translate the monetary loss in production, improving the concept of conforming and nonconforming products. The signal-to-noise ratio enables to analyses the expected response with the noises present. Bootstrapping is an intensive computational technique, nonparametric, that allows estimate some parameters, variances and confidence intervals. This paper presents some of Taguchi’s concepts and provide an evaluation of his statistical methods with resampling Bootstrap technique in food industry. We compared the quality of five different products. Comparisons were made between similar products and between work shifts in the same manufacturing process. An application “Experimento Taguchi” was developed to execute and show all the steps of this process, facilitating its posterior statistical analysis.
Keywords
Bootstrap, Loss function, Taguchi, Signal-to-Noise Ratio, quality
