%0 Journal Article
	%A Francisco Aparisi and  Marco A. de Luna
	%D 2007
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 11, 2007
	%T The Synthetic T2 Quality Control Chart and its Multi-Objective Optimization
	%U https://publications.waset.org/pdf/4917
	%V 11
	%X 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.
	%P 3460 - 3463