期刊
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
卷 40, 期 2, 页码 456-461出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/0142331216659920
关键词
Average run length; hybrid exponentially weighted moving average; Monte Carlo simulation; normal distribution; process monitoring
资金
- Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah
- DSR
- National Research Foundation of Korea (NRF) grant - Korean government (MEST) [NRF-2013-R1A2A2A03068323]
We provide the complete design of a hybrid exponentially weighted moving average (HEWMA) control chart for COM-Poisson distribution. The necessary measures of the proposed control chart are given in this manuscript, and the average run lengths (ARLs) are determined through Monte Carlo simulation for various values of specified parameters. The performance of the proposed chart is compared with two existing control charts. The proposed chart is more efficient than these two existing charts in terms of ARLs; application of the proposed chart is described with the help of Montgomery's data (Introduction to Statistical Quality Control, John Wiley & Sons, New York, 2007).
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