実験計画法における制御因子間の相乗効果を探索するプログラムの開発

抄録

Recently the design of experiments is used to decide optimum processing conditions. However when the control factor interaction between the several control factors becomes large, the calculated accuracy using the design of experiments becomes very bad. Then everybody should check the results regarding the best and the worst conditions in the experiments. If differences between the calculated vale and the experimental value for the best and the worst conditions become large, the results using the design of experiments are never used. Therefore, in the previous research, we have developed the tool for easily finding the control factor interaction in the design of experiments. This control factor interaction between the several control factors action is large fault, an obstacle for innovation and disliked by everybody. However when the reaction between the several control factors becomes large effect which is surpassed the estimate, the control factor interaction becomes the synergistic effect which is liked by everybody, the synergistic effect finally brings large profit, excellent license and innovation. Therefore in this research, the tool for easily finding the synergistic effects between the control factors was developed and evaluated using the program in the previous research. The program was the tool for finding the control factor interaction in the design of experiments, it was improved for the easily finding the synergistic effects by using the new algorithm, and was evaluated by the several mathematical models and the experiment. It is concluded from the result that (1) the new program can clear the synergistic effects between the control factors, (2) the program also can clear the complex multiplier effects and (3) the program can clear the synergistic effects with innovative profit in the actual example.