A hybrid homogeneously weighted moving average control chart for process monitoring |
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Authors: | Olatunde Adebayo Adeoti Sunday Olawale Koleoso |
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Affiliation: | Department of Statistics, The Federal University of Technology Akure, Akure, 340001 Nigeria |
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Abstract: | Several modifications and enhancements to control charts in increasing the performance of small and moderate process shifts have been introduced in the quality control charting techniques. In this paper, a new hybrid control chart for monitoring process location is proposed by combining two homogeneously weighted moving average (HWMA) control charts. The hybrid homogeneously weighted moving average (HHWMA) statistic is derived using two smoothing constants λ1 and λ2 . The average run length (ARL) and the standard deviation of the run length (SDRL) values of the HHWMA control chart are obtained and compared with some existing control charts for monitoring small and moderate shifts in the process location. The results of study show that the HHWMA control chart outperforms the existing control charts in many situations. The application of the HHWMA chart is demonstrated using a simulated data. |
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Keywords: | average run length (ARL) control chart homogeneously weighted moving average (HWMA) hybrid homogeneously weighted moving average (HHWMA) process monitoring |
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