Open AccessNonparametric EWMA-Type Control Charts for Monitoring Industrial Processes: An Overview
Author(s) -
Ioannis S. Triantafyllou,
Mangey Ram
Publication year - 2021
Publication title -
international journal of mathematical, engineering and management sciences
Language(s) - English
Resource type - Journals
ISSN - 2455-7749
DOI - 10.33889/ijmems.2021.6.3.044
Subject(s) - ewma chart , nonparametric statistics , control chart , statistical process control , computer science , type i and type ii errors , process (computing) , econometrics , statistics , mathematics , operating system
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.