| This course is taught in English. The aim of this course is to introduce an alternative approach, apart from other statistical applications, for students to learn how to solving on-line quality improvement and process optimization of products in industrial workplace, especially in agri-food industry. This course focuses on the technique, Taguchi quality engineering, in which it is to serve in demonstrating a tool to facilitate a product development in terms of cost and time-effective. The framework of such systematic approach is laid out in a logical order so that students in the class can understand completely and insure students have implemented the operation of the technique properly. The overview of the Taguchi method teaching in the class includes planning the experiment, designing the experiment, conducting the experiment and analyzing the experiment. Essential topics cover selecting factors and levels, measurement of the quality characteristics, orthogonal arrays, signal-to-noise ratio, response graph, analysis of variance (ANOVA), confirmation test for the optimal set, and Taguchi case studies. |