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 ...
Read More
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.
Read Less
Add this copy of A new hybrid exponentially weighted moving average to cart. $37.01, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2020 by LAP Lambert Academic Publishing.
