Double moving average–EWMA control chart for exponentially distributed quality |
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| Authors: | Muhammad Aslam Wenhao Gui Nasrullah Khan Chi-Hyuck Jun |
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| Institution: | 1. Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabiaaslam_ravian@hotmail.com;3. Department of Mathematics, Beijing Jiaotong University, Beijing, China;4. Department of Statistic, Jhang Campus, University of Veterinary and Animal Sciences, Lahore;5. Department of Industrial?and Management Engineering, POSTECH, Pohang, Republic of Korea |
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| Abstract: | A control chart is an ever-popular tool for monitoring the production process. The early detection of a process shift, if any, is the desire of the quality control personnel. In this article, an effective alternative control charting procedure has been developed for the monitoring of exponentially distributed quality characteristic using the double moving average combined with EWMA statistic. The performance of the proposed control chart is examined for different combinations of the shift constant, the EWMA smoothing parameter, the moving average span, and the target in-control average run lengths. It has been observed that the proposed control chart is more efficient in the detection of process shifts as compared to control chart suggested by Khoo and Wang for the same purpose. The proposed control chart is illustrated for practical usage with the help of a synthetic and a real dataset. |
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| Keywords: | Average run length Control chart EWMA Exponential distribution Moving average |
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