Journal
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
Volume 32, Issue 3, Pages 1179-1190Publisher
WILEY-BLACKWELL
DOI: 10.1002/qre.1825
Keywords
EWMA; exponential distribution; control chart; average run length
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Funding
- King Abdulaziz University, Jeddah
- DSR
- National Research Foundation of Korea [2013R1A2A2A03068323]
- National Research Foundation of Korea [2013R1A2A2A03068323] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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We propose an exponentially weighted moving average (EWMA) control chart for monitoring exponential distributed quality characteristics. The proposed control chart first transforms the sample data to approximate normal variables, then calculates the moving average (MA) statistic for each subgroup, and finally constructs the EWMA statistic based on the current and the previous MA statistics. The upper and the lower control limits are derived using the mean and the variance of EWMA statistics. The in-control and the out-of-control average run lengths are derived and tabularized according to process shift parameters and smoothing constants. It is shown that the proposed control chart outperforms the MA control chart for all shift parameters. Copyright (c) 2015 John Wiley & Sons, Ltd.
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