TY - JFULL AU - Joseph C. Chen PY - 2017/7/ TI - Optimizing Machine Vision System Setup Accuracy by Six-Sigma DMAIC Approach T2 - International Journal of Industrial and Manufacturing Engineering SP - 1174 EP - 1184 VL - 11 SN - 1307-6892 UR - https://publications.waset.org/pdf/10007194 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 126, 2017 N2 - Machine vision system provides automatic inspection to reduce manufacturing costs considerably. However, only a few principles have been found to optimize machine vision system and help it function more accurately in industrial practice. Mostly, there were complicated and impractical design techniques to improve the accuracy of machine vision system. This paper discusses implementing the Six Sigma Define, Measure, Analyze, Improve, and Control (DMAIC) approach to optimize the setup parameters of machine vision system when it is used as a direct measurement technique. This research follows a case study showing how Six Sigma DMAIC methodology has been put into use. ER -