Abstract
ABSTRACT In this paper, a new distribution-free double exponentially weighted moving average (DEWMA) control chart based on the Wilcoxon rank-sum (WRS) test without any distributional assumption of the underlying quality process is proposed. The proposed chart is the extension of the exponentially weighted moving average (EWMA) WRS control chart where the EWMA WRS statistic is applied twice. The ability of the EWMA and DEWMA WRS charts to detect small to large process mean shifts is further improved by combining each of them with the Shewhart control chart based on the WRS statistic. The in-control and out-of-control performances of the proposed charts are thoroughly investigated using extensive simulations. It is found that the proposed charts perform better than their competitors under both normal and non-normal distributions. A numerical illustration using real-life dataset is given in order to demonstrate the design and implementation of the new charts.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
