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    ARTICLE

    Integration of game theory and response surface method for robust parameter design

    Mengyuan Tang, Li Dai1, Sangmun Shin2

    Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería, Vol.38, No.2, pp. 1-17, 2022, DOI:10.23967/j.rimni.2022.06.002 - 20 June 2022

    Abstract Robust parameter design (RPD) is to determine the optimal controllable factors that minimize the variation of quality performance caused by noise factors. The dual response surface approach is one of the most commonly applied approaches in RPD that attempts to simultaneously minimize the process bias (i.e., the deviation of the process mean from the target) as well as process variability (i.e., variance or standard deviation). In order to address this tradeoff issue between the process bias and variability, a number of RPD methods are reported in literature by assigning relative weights or priorities to both… More >

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