2022
DOI: 10.17576/jsm-2022-5105-25
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A New Optimization Scheme for Robust Design Modeling with Unbalanced

Abstract: The Lin and Tu (LT) optimization scheme which is based on mean squared error (MSE) objective function is the commonly used optimization scheme for estimating the optimal mean response in robust dual response surface optimization. The ordinary least squares (OLS) method is often used to estimate the parameters of the process location and process scale models of the responses. However, the OLS is not efficient for the unbalanced design data since this kind of data make the errors of a model become heteroscedasti… Show more

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“…Additionally, Köksoy (2006) and Köksoy and Yalcinoz (2006) proposed the MSE model as a criterion to solve the multiple-response quality problems by assigning the weights to the individual MSE functions of each response. Following these articles, some studies examining the DRS problem is listed as follows: Baba et al (2022), Del Castillo, Colosimo and Alshraideh (2012), Kim and Cho (2002), Köksoy and Fan (2012), Lizotte, Greiner and Schuurmans (2012), Midi and Aziz (2019), Shaibu and Cho (2009), Tang and Xu (2002), Zeybek (2020), Köksoy (2020, 2016), and Zeybek, Köksoy and Robinson (2020).…”
mentioning
confidence: 99%
“…Additionally, Köksoy (2006) and Köksoy and Yalcinoz (2006) proposed the MSE model as a criterion to solve the multiple-response quality problems by assigning the weights to the individual MSE functions of each response. Following these articles, some studies examining the DRS problem is listed as follows: Baba et al (2022), Del Castillo, Colosimo and Alshraideh (2012), Kim and Cho (2002), Köksoy and Fan (2012), Lizotte, Greiner and Schuurmans (2012), Midi and Aziz (2019), Shaibu and Cho (2009), Tang and Xu (2002), Zeybek (2020), Köksoy (2020, 2016), and Zeybek, Köksoy and Robinson (2020).…”
mentioning
confidence: 99%