Scholarly Research Excellence
@article{(International Science Index):,
  title    = {The Synthetic T2 Quality Control Chart and its Multi-Objective Optimization},
  author    = {Francisco Aparisi and  Marco A. de Luna},
  country   = {},
  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, Electrical, Automation, Control and Information Engineering},  volume    = {1},
  number    = {11},
  year      = {2007},
  pages     = {3460 - 3463},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 11, 2007},