Comparison of Some Non-Parametric Quality Control Methods
Quality Control
Non-Parametric Control Chart
Average Run Length
K- Nearest Neighbor
Kernel Principal Component Analysis
Wilcoxon Signed-Rank
Multivariate Non-Parametric control charts were used to monitoring the data that generated by using the simulation, whether they are within control limits or not. Since that non-parametric methods do not require any assumptions about the distribution of the data. This research aims to apply the multivariate non-parametric quality control methods, which are Multivariate Wilcoxon Signed-Rank ( ) , kernel principal component analysis (KPCA) and k-nearest neighbor ( −
