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Journal of Korean Society for Quality Management > Volume 41(1); 2013 > Article
Journal of Korean Society for Quality Management 2013;41(1): 109-.
doi: https://doi.org/10.7469/JKSQM.2013.41.1.109
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임용빈
이화여자대학교 자연과학대학 통계학과
A Note on Finding Optimum Conditions Using Mixture Experimental Data with Process Variables
Yong B. Lim
Department of Statistics, Ewha Womans University
ABSTRACT
Purpose:
Given the several proper models for given mixture components-process variables experimental data, we propose a strategy to find the optimal condition in which the performance of the responses is well-behaved under those models.
Methods:
Given the mixture experimental data with process variables, first we choose the reasonable starting models among the class of admissible product models based on the model selection criteria and then, search for the candidate models that are the subset models of the starting model by the sequential variable selection method or all possible regressions procedure. Good candidate models are screened by the evaluation of model selection criteria and checking the residual plots for the validity of the model assumption.
Results:
We propose a strategy to find the optimal condition in which the performance of the responses is well-behaved under those good candidate models by adopting the optimization methods developed in multiple responses surface methodology.
Conclusion:
A strategy is proposed to find the optimal condition in which the performance of the responses is well-behaved under those proper combined models. This strategy to find the optimal condition is illustrated with the example in this paper.
Key Words: Optimum Conditions for the Several Proper Combined Models;Multiple Responses Surface Methods;
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