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A hybrid homogeneously weighted moving average control chart for process monitoring
Quality and Reliability Engineering International ( IF 2.2 ) Pub Date : 2020-06-19 , DOI: 10.1002/qre.2690
Olatunde Adebayo Adeoti 1 , Sunday Olawale Koleoso 1
Affiliation  

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.

中文翻译:

用于过程监控的混合均匀加权移动平均控制图

在质量控制图表技术中,已经引入了对控制图的一些修改和增强,以提高中小工艺班次的性能。本文通过结合两个均匀加权的移动平均(HWMA)控制图,提出了一种用于监视过程位置的新混合控制图。均匀加权移动平均(HHWMA)统计量的混合使用两个平滑常数得到λ 1λ 2。获得了HHWMA控制图的平均运行长度(ARL)和运行长度的标准偏差(SDRL)值,并将其与一些现有的控制图进行比较,以监控过程位置的中小变化。研究结果表明,HHWMA控制图在许多情况下都优于现有控制图。使用模拟数据演示了HHWMA图表的应用。
更新日期:2020-06-19
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