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A hybrid homogeneously weighted moving average control chart for process monitoring
Author(s) -
Adeoti Olatunde Adebayo,
Koleoso Sunday Olawale
Publication year - 2020
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.2690
Subject(s) - control chart , ewma chart , chart , statistical process control , x bar chart , control limits , statistic , smoothing , shewhart individuals control chart , moving average , statistics , process (computing) , computer science , standard deviation , \bar x and r chart , mathematics , operating system
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 λ 1 and λ 2 . 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.