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We have proposed a New Hybrid Exponentially Weighted Moving Average HEWMA control chart. The proposed control chart is based on a mixture ratio estimator of the mean using a single auxiliary variable and a single auxiliary attribute (Moeen et al., 2012). We call it as Z- HEWMA control chart. The proposed control chart performance is evaluated using out-of-control-Average Run Length (ARL1). The control limits of the proposed chart is based on the estimator, its mean square errors. A simulated data is used to compare the proposed Z-HEWMA, traditional/simple EWMA chart and CUSUM control chart. From this study, the fact is revealed that Z-HEWMA control chart shows more efficient results as compared to traditional/simple EWMA and CUSUM control charts. The Z-HEWMA chart can be used for efficient monitoring of the production process in manufacturing industries where auxiliary information about a numerical variable and an attribute is available.
| Autorius: | Hafiz Zain Pervaiz, Syed Muhammad Muslim Raza, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2020 |
| Knygos puslapių skaičius: | 76 |
| ISBN-10: | 6200652503 |
| ISBN-13: | 9786200652508 |
| Formatas: | 220 x 150 x 5 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „A new hybrid exponentially weighted moving average control chart: A new hybrid exponentially weighted moving average control chart using mixture ratio estimator of mean“
