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• W1969471618 abstract "Robust design, axiomatic design, and reliability-based design provide effective approaches to deal with quality problems, and their integration will achieve better quality improvement. An integration design optimization framework of robust design, axiomatic design, and reliability-based design is proposed in this paper. First, the fitted response model of each quality characteristic is obtained by response surface methodology and the mean square error (MSE) estimation is given by a second-order Taylor series approximation expansion. Then the multiple quality characteristics robust design model is developed by the MSE criteria. Finally, the independence axiom constraints for decoupling and reliability constraints are integrated into the multiple quality characteristics robust design model, and the integration design optimization framework is formulated, where the weighted Tchebycheff approach is adopted to solve the multiple objective programming. An illustrative example is presented at the end, and the results show that the proposed approach can obtain better trade-offs among conflicting quality characteristics, variability, coupling degree and reliability requirements. Copyright © 2011 John Wiley & Sons, Ltd." @default.
• W1969471618 created "2016-06-24" @default.
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• W1969471618 date "2011-02-15" @default.
• W1969471618 modified "2023-09-26" @default.
• W1969471618 title "An integration design optimization framework of robust design, axiomatic design, and reliability-based design" @default.
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• W1969471618 doi "https://doi.org/10.1002/qre.1188" @default.
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