Nonparametric EWMA-Type Control Charts for Monitoring Industrial Processes: An Overview | Zendy

Ioannis S. Triantafyllou | Zendy; Mangey Ram | Zendy

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Nonparametric 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.

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