Comparison of Some Non-Parametric Quality Control Methods
DOI:
https://doi.org/10.33095/jeas.v27i130.2210Keywords:
Quality Control , Non-Parametric Control Chart , Average Run Length, K- Nearest Neighbor , Kernel Principal Component Analysis , Wilcoxon Signed-RankAbstract
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 ( −
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