Efficient Moving Average Control Chart for Zero Truncated Poisson Processes when Parameter Changed
The aim of this research is to study the performance of moving average control chart (MA) for monitoring process change with span size (w) are equal 3, 4 and 5, respectively when observations are zero truncated Poisson (ZTP). In addition, the performance of the control chart between MA and charts are measured by average run length (ARL) using Monte Carlo simulation method. The results show that the efficiency of MA control chart increases as the value of span size (w) increases. The comparison between MA and control charts shows that MA control chart is more efficient in detecting small changes in the process but control chart is more efficient in detecting large changes in the process.
Copyright (c) 2020 The Journal of Applied Science
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.