An expanded case against synthetic‐type control charts
Publication date
2022-05-19
Document type
Forschungsartikel
Author
Organisational unit
Scopus ID
Publisher
Wiley
Series or journal
Quality and Reliability Engineering International
ISSN
Periodical volume
38
Periodical issue
6
First page
3197
Last page
3215
Part of the university bibliography
✅
Language
English
Keyword
Average run length
Conditional expected delay
Control chart
EWMA chart
Statistical process monitoring
Steady-state
Abstract
During the last two decades, many new methods have appeared in statistical process monitoring with synthetic‐type control charts being a prominent constituent. These charts became popular due to their simplicity and proclaimed excellent change point detection performance. Synthetic charts are nothing more than the application of well‐known and long established runs rules. We show that better performance can be obtained by using exponentially weighted moving average (EWMA) charts. Expanding on some previous questioning articles, we critically reflect upon recently developed variants of synthetic‐type charts in order to emphasize that there is no reason to apply this special class of control charts. This paper renews and extends criticism in order to respond to newly developed synthetic charts, called “revised” and “modified” by incorporation of further restrictions on the observations leading to an out‐of‐control signal. Furthermore, we demonstrate that “improved synthetic charts” (synthetic charts augmented with an outer Shewhart limit) perform weaker than EWMA–Shewhart chart combinations.
Description
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License CC BY-NC 4.0 ( https://creativecommons.org/licenses/by-nc/4.0/).
Version
Published version
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Metadata only access