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- W2569713360 abstract "The use of multivariate control charts in manufacturing and service industries is often avoided because of the complexity in its development and interpretation of out of control signals. Most multivariate control charts require a specific distributional assumption to establish their control limits, but the bootstrap and permutation methods does not rely on such distributional assumption. Control limit obtain from the bootstrap method is approximate in nature while that of permutation is exact. This study introduces the permutation method in obtaining exact control limits as well as interpreting out of control signals in multivariate Hotelling’s T2 control charts. A performance study of the methods using empirical data sets shows that results from the proposed Permutation method when compared with other existing methods perform better in identifying out of control signal rather than stopping the entire processes." @default.
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- W2569713360 date "2016-01-01" @default.
- W2569713360 modified "2023-09-24" @default.
- W2569713360 title "Permutation Approach in Obtaining Control Limits and Interpretation of out of Control Signals in Multivariate Control Charts" @default.
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