Többváltozós folyamatszabályozás vizsgálata R környezetben

Abstract

At the first stage of our work, the theoretical knowledge needed to use the multivariate statistical process control (MSPC) was explored. Last year, we clarified the sometimes confused concepts, equations and formulas (Mihalkó-Rajkó, 2016). At the second stage, R project simulation studies and some food industrial practical model investigations are carried out for confirming the MSPC advantages compared with the univariate ones. Furthermore, we analyze, using principal component analysis (PCA), what could cause the outlying values, moreover we will demonstrate how to use the MYT-decomposition.