A CUSUM scheme for event monitoring

This article presents a single CUSUM scheme (called the GCUSUM chart) for simultaneously monitoring the time interval T and magnitude X of an event. For example, a traffic accident may be considered as an event, and the total loss in dollars in each case is the event magnitude. Since the GCUSUM char...

全面介紹

Saved in:
書目詳細資料
Main Authors: Khoo, Michael B. C., Qu, Liang, Wu, Zhang, Castagliola, Philippe
其他作者: School of Mechanical and Aerospace Engineering
格式: Article
語言:English
出版: 2013
在線閱讀:https://hdl.handle.net/10356/106689
http://hdl.handle.net/10220/16652
http://dx.doi.org/10.1016/j.ijpe.2013.04.048
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
機構: Nanyang Technological University
語言: English
id sg-ntu-dr.10356-106689
record_format dspace
spelling sg-ntu-dr.10356-1066892019-12-06T22:16:21Z A CUSUM scheme for event monitoring Khoo, Michael B. C. Qu, Liang Wu, Zhang Castagliola, Philippe School of Mechanical and Aerospace Engineering This article presents a single CUSUM scheme (called the GCUSUM chart) for simultaneously monitoring the time interval T and magnitude X of an event. For example, a traffic accident may be considered as an event, and the total loss in dollars in each case is the event magnitude. Since the GCUSUM chart is developed based on a synthetic statistic G which is a function of both T and X, this new chart is able to make use of the information about the event frequency, as well as the information about the event magnitude. Moreover, the detection power of the GCUSUM chart can be allocated in an optimal manner between those against T shifts and against X shifts, and between those against small shifts and against large shifts. The performance studies show that the GCUSUM chart is more effective than all other charts in the current literature for detecting the out-of-control status of an event. Furthermore, the GCUSUM chart performs more uniformly for detecting process shifts of different types and sizes. This chart is also easier to be designed and implemented than other CUSUM charts for monitoring both T and X. The GCUSUM chart has the potential to be applied to many different areas, especially to the non-manufacturing and service sectors, such as supply chain management, homeland security, office administration and the health care industry. 2013-10-21T04:10:26Z 2019-12-06T22:16:21Z 2013-10-21T04:10:26Z 2019-12-06T22:16:21Z 2013 2013 Journal Article Qu, L., Wu, Z., Khoo, M. B.,& Castagliola, P. (2013). A CUSUM scheme for event monitoring. International Journal of Production Economics, 145(1), 268-280. 0925-5273 https://hdl.handle.net/10356/106689 http://hdl.handle.net/10220/16652 http://dx.doi.org/10.1016/j.ijpe.2013.04.048 en International journal of production economics
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
description This article presents a single CUSUM scheme (called the GCUSUM chart) for simultaneously monitoring the time interval T and magnitude X of an event. For example, a traffic accident may be considered as an event, and the total loss in dollars in each case is the event magnitude. Since the GCUSUM chart is developed based on a synthetic statistic G which is a function of both T and X, this new chart is able to make use of the information about the event frequency, as well as the information about the event magnitude. Moreover, the detection power of the GCUSUM chart can be allocated in an optimal manner between those against T shifts and against X shifts, and between those against small shifts and against large shifts. The performance studies show that the GCUSUM chart is more effective than all other charts in the current literature for detecting the out-of-control status of an event. Furthermore, the GCUSUM chart performs more uniformly for detecting process shifts of different types and sizes. This chart is also easier to be designed and implemented than other CUSUM charts for monitoring both T and X. The GCUSUM chart has the potential to be applied to many different areas, especially to the non-manufacturing and service sectors, such as supply chain management, homeland security, office administration and the health care industry.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Khoo, Michael B. C.
Qu, Liang
Wu, Zhang
Castagliola, Philippe
format Article
author Khoo, Michael B. C.
Qu, Liang
Wu, Zhang
Castagliola, Philippe
spellingShingle Khoo, Michael B. C.
Qu, Liang
Wu, Zhang
Castagliola, Philippe
A CUSUM scheme for event monitoring
author_sort Khoo, Michael B. C.
title A CUSUM scheme for event monitoring
title_short A CUSUM scheme for event monitoring
title_full A CUSUM scheme for event monitoring
title_fullStr A CUSUM scheme for event monitoring
title_full_unstemmed A CUSUM scheme for event monitoring
title_sort cusum scheme for event monitoring
publishDate 2013
url https://hdl.handle.net/10356/106689
http://hdl.handle.net/10220/16652
http://dx.doi.org/10.1016/j.ijpe.2013.04.048
_version_ 1681039492296736768