A critique of a variety of "memory-based" process monitoring methods
Publication date
2022-02-23
Document type
Forschungsartikel
Author
Organisational unit
Scopus ID
Publisher
Taylor & Francis
Series or journal
Journal of Quality Technology
ISSN
Periodical volume
55
Periodical issue
1
First page
18
Last page
42
Part of the university bibliography
✅
Language
English
Keyword
Control chart
Cumulative sum (CUSUM) chart
Exponentially weighted moving average (EWMA) chart
Mixed control charts
Statistical process monitoring
Abstract
Many extensions and modifications have been made to standard process monitoring methods such as the exponentially weighted moving average (EWMA) chart and the cumulative sum (CUSUM) chart. In addition, new schemes have been proposed based on alternative weighting of past data, usually to put greater emphasis on past data and less weight on current and recent data. In other cases, the output of one process monitoring method, such as the EWMA statistic, is used as the input to another method, such as the CUSUM chart. Often the recursive formula for a control chart statistic is itself used recursively to form a new control chart statistic. We find the use of these ad hoc methods to be unjustified. Statistical performance comparisons justifying the use of these methods have been either flawed by focusing only on zero-state run length metrics or by making comparisons to an unnecessarily weak competitor.
Version
Published version
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