Using Rolling Grey Model in a SPC-EPC Process Control Feedback-System

• Main Authors: Tsai,Chia-Ping, 蔡佳蘋
• Other Authors: Tong, Lee-Ing
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/24477993864063454221

碩士 === 國立交通大學 === 工業工程與管理系所 === 101 === In order to enhance the competitiveness of products, manufacturers must reduce process variation to improve the product quality. Statistical Process Control (SPC) is frequently employed to remove the assignable cause and Engineering Process Control (EPC) is also implemented to adjust the process input, so that the process output can be revised quickly to the target value. Many studies recommended that integrated SPC-EPC has better performance than just employing SPC or EPC alone. The main purpose of this study is using the data of the production and metrology tools to develop a framework of SPC- EPC process feedback control system. First, this paper uses the stepwise regression analysis to order the significant input variables according to their importance, then constructing a relationship between the process input and the output. In addition, a rolling gray model is constructed to predict the future process output when the output of the process has a non-random trend. This feedback control system can decide in advance whether it is necessary to start the variable adjustment mechanism to effectively reduce the process variation.