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  5. Binomial CUSUM chart with curtailment

Binomial CUSUM chart with curtailment

Publication date
2014-02-06
Document type
Forschungsartikel
Author
Haridy, Salah
Wu, Zhang
Chen, Songlin
Knoth, Sven  
Organisational unit
Rechnergestützte Statistik  
DOI
10.1080/00207543.2014.882026
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/21891
Scopus ID
2-s2.0-84904394847
Publisher
Taylor & Francis
Series or journal
International Journal of Production Research
ISSN
0020-7543
Periodical volume
52
Periodical issue
15
First page
4646
Last page
4659
Part of the university bibliography
✅
Additional Information
Language
English
Keyword
control chart
curtailment
CUSUM chart
quality control
statistical process control
Abstract
The binomial cumulative sum (CUSUM) chart has been widely used to monitor the fraction nonconforming (p) of a process. It is a powerful procedure for detecting small and moderate p shifts. This article proposes a binomial CUSUM control chart using curtailment technique (Curt-CUSUM chart in short). The new chart is able to improve the overall detection effectiveness while holding the false alarm rate at a specified level. The results of the comparative studies show that, on average, the Curt-CUSUM chart is more effective than the CUSUM chart without curtailment by 30%, in terms of Average Number of Defectives, under different circumstances. The Curt-CUSUM chart can be applied to a 100% inspection as well as a general random sampling inspection.
Version
Published version
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