TY - JFULL AU - Francisco Aparisi and Marco A. de Luna PY - 2007/12/ TI - The Synthetic T2 Quality Control Chart and its Multi-Objective Optimization T2 - International Journal of Computer and Information Engineering SP - 3459 EP - 3463 VL - 1 SN - 1307-6892 UR - https://publications.waset.org/pdf/4917 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 11, 2007 N2 - In some real applications of Statistical Process Control it is necessary to design a control chart to not detect small process shifts, but keeping a good performance to detect moderate and large shifts in the quality. In this work we develop a new quality control chart, the synthetic T2 control chart, that can be designed to cope with this objective. A multi-objective optimization is carried out employing Genetic Algorithms, finding the Pareto-optimal front of non-dominated solutions for this optimization problem. ER -