| Summary: | 碩士 === 國立交通大學 === 工業工程與管理系所 === 93 === Design of experiments (DOE) is useful in finding the optimal parameter-setting efficiently with low experimental cost. However, in some specific areas, engineers often misuse factorial design on mixture experiments. In mixture experiments, the factor (which is also called component) affects the response by its proportion in all components, but not the actual volume. This is the main difference between factorial design and mixture experiments. In addition, simultaneously optimization of multiple responses is increasingly essential. Therefore, this study proposes a procedure to optimize multi-response in mixture experiments. The desirability function of six-sigma quality introduced by Ribardo and Allen [14] is employed in the proposed procedure. The desirability function considers the estimated mean and variance of response variable and estimate the response under assumptions required in the six-sigma quality. A rubber bowl’s experiment with four components and eleven response variables are utilized to demonstrate the effectiveness of the proposed procedure.
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