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• W1569421340 abstract "Generally, response surface designs are used (in quality improvement experiments) in estimating the optimal level combinations of the process parameters. In an industrial process, the most important problem is to predict the operating condition that optimize a response of interest, and simultaneously minimizes the process variability. In modern quality engineering, dual response surface approach was introduced to achieve this goal. Some researchers have proposed to use the generalized linear models to derive the joint mean and variance models, instead of separate mean and variance models as in the dual response surface approach. This article illustrates (based on two real examples) how the generalized linear models approach can be used to achieve the goal. The present analyses and interpretations (related to these two examples) are completely different from all the earlier research findings." @default.
• W1569421340 created "2016-06-24" @default.
• W1569421340 creator A5086111063 @default.
• W1569421340 date "2014-06-20" @default.
• W1569421340 modified "2023-09-27" @default.
• W1569421340 title "On estimating the optimal process parameters in quality engineering using generalized linear models approach" @default.
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• W1569421340 doi "https://doi.org/10.3233/mas-140293" @default.
• W1569421340 hasPublicationYear "2014" @default.
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