Responses modeling and optimization criteria impact on the optimization of multiple quality characteristics

Authors:
Nuno Costa;João Lourenço;Zulema Lopes Pereira
Affiliations:
IPS-Setubal College of Technology, Campus do IPS, Estefanilha, 2910-761 Setúbal, Portugal and UNIDEMI/DEMI, Faculdade de Ciências e Tecnologia-Universidade Nova de Lisboa, 2829-516 Capar ...;IPS-Setubal College of Technology, Campus do IPS, Estefanilha, 2910-761 Setúbal, Portugal and INESC-ID, Rua Alves Redol 9, 1000-029 Lisboa, Portugal;UNIDEMI/DEMI, Faculdade de Ciências e Tecnologia-Universidade Nova de Lisboa, 2829-516 Caparica, Portugal
Venue:
Computers and Industrial Engineering
Year:
2012

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Abstract

Responses modeling and optimization criteria impact on the optimization results were investigated. The Ordinary Least Squares and Seemingly Unrelated Regression techniques were illustrated in two examples from the literature and the performance of three optimization criteria evaluated. In contrast to the standard practice, compromise solutions were evaluated in terms of bias and robustness using optimization performance measures. The results of both examples show that responses modeling strongly impacts on the optimization results, while there is no significant difference between criteria performance. The Seemingly Unrelated Regression technique proved to be useful for modeling correlated responses. Otherwise, this technique can lead to results in close agreement to those obtained with models fitted with the OLS technique.