A review and comparison of control charts for ordinal samples
Publication date
2023-02-28
Document type
Forschungsartikel
Author
Organisational unit
Publisher
Taylor & Francis
Series or journal
Journal of quality technology
ISSN
Periodical volume
55
Periodical issue
4
First page
422
Last page
441
Peer-reviewed
✅
Part of the university bibliography
✅
Language
English
Keyword
Attributes control charts
Average run length
Ordinal data
Statistical process control
Abstract
Qualitative, more specifically, ordinal data generating processes are common in real-world process control implementations. In this study, a survey of control charts for the sample-based monitoring of independent and identically distributed ordinal data is provided together with critical comparisons of the control statistics, for memory-less Shewhart-type and for memory-utilizing exponentially weighted moving average (EWMA) and cumulative-sum types of control charts. New results and proposals are also provided for process monitoring. Using some real-world quality scenarios from the literature, a simulation study for performance comparisons is conducted, covering sixteen different types of control chart. It is shown that demerit-type charts used in combination with EWMA smoothing generally perform better than the other charts, which may rely on quite sophisticated derivations. A real-world data example for monitoring flashes in electric toothbrush manufacturing is discussed to illustrate the application and interpretation of the control charts in the study.
Description
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Version
Published version
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