@article{(Open Science Index):https://publications.waset.org/pdf/4917,
	  title     = {The Synthetic T2 Quality Control Chart and its Multi-Objective Optimization},
	  author    = {Francisco Aparisi and  Marco A. de Luna},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {1},
	  number    = {11},
	  year      = {2007},
	  pages     = {3460 - 3463},
	  ee        = {https://publications.waset.org/pdf/4917},
	  url   	= {https://publications.waset.org/vol/11},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 11, 2007},
	}