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  5. Monitoring the frequency and magnitude of an event with a ratio chart

Monitoring the frequency and magnitude of an event with a ratio chart

Publication date
2016-01-21
Document type
Konferenzbeitrag
Author
Cheng, Yuan
Knoth, Sven  
Xie, Min
Organisational unit
Rechnergestützte Statistik  
DOI
10.1109/ieem.2015.7385784
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/21933
Scopus ID
2-s2.0-84962024900
Conference
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2015) ; Singapore ; December 6–9, 2015
Publisher
IEEE
Book title
IEEM 2015 : 2015 IEEE International Conference on Industrial Engineering and Engineering Management
ISBN
978-1-4673-8066-9
First page
928
Last page
931
Part of the university bibliography
✅
Additional Information
Language
English
Keyword
Event frequency
Event magnitude
EWMA
Ratio chart
Statistical process control
Abstract
Control charts for monitoring the event has attracted many researchers' interests and many works have been done in recent years. However, previous works always neglect the dependence between event frequency and event magnitude and this kind of ignorance may make the control chart not suitable in some real applications. In our work, the frequency and magnitude of an event is characterized by a bivariate gamma distribution with a dependence parameter. And the ratio of the event magnitude and event frequency is introduced and the EWMA type of the ratio is considered as the monitoring statistic. The implementation procedure of the introduced chart is discussed with an example.
Version
Published version
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