This paper applies the Six Sigma methodology to improve the polarizer cutting process. First, we identify the critical quality characteristics and process variables. Then, the neural network is carried out to identify the optimal operating conditions of significant factors for further verification of the best exchange knife timing. The results indicate that DMAIC methology are effective in improving the polarizer cutting process.