Evi Ramadhani, Herman Mawengkang, Sutarman, Marwan Ramli
This paper discusses the Multivariate Exponential Weighed Moving Average (MEWMA) in controlling industrial processes. MEWMA is a multivariate control diagram that can be used to detect autocorrelation and detect the mean vector shift. But the success of the measurement with the MEWMA control diagram depends on the smoothing parameterλand the comparative weightω. So far, it has never been specifically seen whether the MEWMA control chart can meet certain assumptions, but can provide appropriate information. Another multivariate control diagram that can be used to control the process is the T2Hotelling control chart. Therefore, this initial phase will be simulated with the MEWMA control chart, and the results will be compared with the T2Hotellingas a comparison. The results of the study showed that the MEWMA control chart yielded more sensitive results to detect the shift in the mean vector process compared to the multivariate T2-Hotelling control chart. © BEIESP.
Indonesia; Syiah Kuala University, Banda Aceh, 23111, Indonesia; North Sumatera University, Medan, 23111, Indonesia
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