基于满意度函数的多响应稳健优化模型及实证研究

发布时间：2018-10-31 14:09

【摘要】：针对传统的综合满意度模型在研究多响应时较少考虑噪声因素的问题,本文通过引入噪声因素对传统的满意度模型实施改进,进行多响应稳健优化分析。首先,构建包含可控因素和噪声因素的多质量特性的响应曲面模型;其次,借助传统综合满意度模型的构建方法,将多质量特性的响应曲面模型整合为改进的满意度模型;最后,将信噪比作为衡量改进的满意度模型稳健优化的指标,得到稳健优化的参数组合。实证研究表明:构建同时包含可控因素和噪声因素的改进的满意度模型是可行的,在此模型的基础上利用信噪比能够有效地找到多响应稳健优化的参数组合。
[Abstract]:In view of the problem that the traditional comprehensive satisfaction model seldom considers the noise factor in the study of multi-response, this paper improves the traditional satisfaction model by introducing the noise factor, and carries out the multi-response robust optimization analysis. Firstly, the response surface model with controllable factors and noise factors is constructed. Secondly, the response surface model with multiple quality characteristics is integrated into an improved satisfaction model with the help of the traditional comprehensive satisfaction model. Finally, the signal-to-noise ratio (SNR) is taken as the index to measure the robust optimization of the improved satisfaction model, and the parameter combination of robust optimization is obtained. Empirical research shows that it is feasible to construct an improved satisfaction model which includes both controllable factors and noise factors. On the basis of this model, the multi-response robust optimization parameter combination can be effectively found by using SNR.
【作者单位】：郑州大学商学院;
【基金】：国家自然科学基金资助项目(71272207)
【分类号】：F273.2;F224

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