Ioannis S. Triantafyllou
Department of Computer Science & Biomedical Informatics, University of Thessaly, Lamia 35131, Greece.
Mangey Ram
Department of Mathematics, Computer Science & Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India.
DOI https://doi.org/10.33889/IJMEMS.2021.6.3.044
Abstract
In the present paper we provide an up-to-date overview of nonparametric Exponentially Weighted Moving Average (EWMA) control charts. Due to their nonparametric nature, such memory-type schemes are proved to be very useful for monitoring industrial processes, where the output cannot match to a particular probability distribution. Several fundamental contributions on the topic are mentioned, while recent advances are also presented in some detail. In addition, some practical applications of the nonparametric EWMA-type control charts are highlighted, in order to emphasize their crucial role in the contemporary online statistical process control.
Keywords- Distribution-free statistical methods, Rank-based procedures, Nonparametric statistical process control, Exponentially weighted moving average (EWMA) control charts, Sign statistics.
Citation
Triantafyllou, I. S., & Ram, M. (2021). Nonparametric EWMA-Type Control Charts for Monitoring Industrial Processes: An Overview. International Journal of Mathematical, Engineering and Management Sciences, 6(3), 708-751. https://doi.org/10.33889/IJMEMS.2021.6.3.044.