Open AccessFUNCTION AND DEVELOPMENT OF MULTIVARIATE CONTROL GRAPHS
Author(s) -
Edgar Augusto Ruelas Santoyo,
Bertha Laura Vargas Rodríguez,
José Jovani Cardiel Ortega,
Geraldo Llamas Perez
Publication year - 2018
Publication title -
dyna
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.177
H-Index - 11
eISSN - 1989-1490
pISSN - 0012-7361
DOI - 10.6036/8674
Subject(s) - multivariate statistics , multivariate analysis , computer science , scope (computer science) , control (management) , quality (philosophy) , control chart , graphics , statistical process control , complement (music) , artificial intelligence , machine learning , process (computing) , philosophy , biochemistry , chemistry , computer graphics (images) , epistemology , complementation , phenotype , gene , programming language , operating system
In the present work, it is intended to highlight in a specific way the utility and advances of multivariate control graphics for the control of quality in modern production systems. The synthesis addresses the development of the most commonly used multivariate control charts as well as identifying their scope and limitations. Once the restrictions to carry out a statistical quality control through multivariate charts have been identified, the study of different techniques that complement the quality analysis in the production systems monitored under said control techniques is addressed.Keywords: Multivariate statistical control charts