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• W2014195001 abstract "ABSTRACT Several methods for optimization of multiple responses have been developed. Most of them have mathematical complexities and are not easily implemented by engineers. In this article, we propose a new method that integrates multiple regression technique and Taguchi's signal-to-noise (SN) ratio concept and is also easily implemented. Two sets of experimental data are analyzed using the proposed method. The proposed method is found to be superior to other methods with respect to total SN ratio as well as closeness of individual responses to their respective target values, which are reflected in the expected mean square error (MSE) values for the individual responses." @default.
• W2014195001 created "2016-06-24" @default.
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• W2014195001 date "2010-08-31" @default.
• W2014195001 modified "2023-10-16" @default.
• W2014195001 title "Multi-Response Optimization Using Multiple Regression–Based Weighted Signal-to-Noise Ratio (MRWSN)" @default.
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• W2014195001 doi "https://doi.org/10.1080/08982112.2010.495368" @default.
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