Desirability Function with Principal Component Analysis for Multi-response Optimization

Abstract

Multi-response optimization is the process of getting the combination treatment that produces optimum
responses. In the industry manufacture it is needed to get the best quality product by considering some characteristics
of products simultaneously. This research used optimization method desirability function combined with principal
component analysis. This method is used when there is correlation among quality characteristics product. The
approach used is to convert some of the responses into one objective variable is then used to determine the point of
optimization. Case study in this research is the optimization of 12L14 free machining steel turning process. The result
optimum point was found a cutting speed of 316 m/min, feed rate of 0.13 mm/rev and depth of cut of 0,5826 mm.
Keywords: multi-response optimization, desirability function, principal component analysis.