Abstract: Considering attributes quality characteristics existed in manufacturing processes, this article proposed the research on the modeling and optimization problem utilizing regression modelbased robust parameter control (RMRPC) approach. The idea of cautious control strategy was introduced for increasing the robust of RMRPC approach applied in uncertainty conditions. A logistic regression method combined with RMRPC approach was brought to model the problem. A case study of surface mounted technology (SMT) was presented to illustrate the application of this technique. The results show that this method is an effective approach to improve the quality and robust of the manufacturing process.