Work

Generally weighted moving average monitoring schemes: Overview and perspectives

Year: 2020

Type: article

Abstract: An overview of monitoring schemes from a class called generally weighted moving average (GWMA) is provided. A GWMA scheme is an extended version of the exponentially weighted moving average (EWMA) scheme with an additional adjustment parameter that introduces more flexibility in the GWMA model as it adjusts the kurtosis of the weighting function so that the GWMA scheme can be designed such that it has an advantage over the corresponding EWMA scheme in the detection of certain shift values efficiently. The parametric and distribution‐free GWMA schemes to monitor various quality characteristics and its existing enhanced versions (ie, double GWMA, composite Shewhart‐GWMA, mixed GWMA‐CUSUM, and mixed CUSUM‐GWMA) have better performance than their corresponding EWMA counterparts in many situations; hence, all such existing research works discussing GWMA‐related schemes (ie, 66 publications in total) are documented and categorized in such a manner that it is easy to identify research gaps. Finally, a number of possible future research ideas are provided.

Source: Quality and Reliability Engineering International

DOI: 10.1002/qre.2765

Authors: Kutele Mabude, Jean‐Claude Malela‐Majika, Philippe Castagliola, Sandile C. Shongwe

Institutions: University of South Africa, Centre National de la Recherche Scientifique, Laboratoire des Sciences du Numérique de Nantes, Université de Nantes, Nantes Université

Language: English

Topic: Advanced Statistical Process Monitoring

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W3088902163

FWCI: 1.674

Cites: 82

Cited by: 31

Related to: 10