| Summary: | 碩士 === 國立交通大學 === 工業工程與管理系所 === 96 === This study applied data mining techniques with an empirical study in a polyimide film (PI) manufacturing company in Taiwan. In the manufacturing process, severe wrinkle problems on the PI film would result in unacceptable outputs. We collect the process and quality parameters data and use C4.5 and 1R in order to identify critical process parameters as well as their appropriate range for reducing the wrinkle problems. The data mining results indicate that two process parameters are critical to the wrinkle problems; however, their value adjustment may affect another quality attribute. By analyzing the manufacturing operation associated with the two critical parameters, we propose the inclusion of a new manufacturing operation. With this inclusion, we can significantly reduce the wrinkle problems, with yield rate improved from 52% to 99%.
|
|---|
