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A transformation-based multivariate chart to monitor process dispersion

Abbasi, B, Niaki, STA, Abdollahian, M and Hosseinifard, Seyedehzahra 2009, A transformation-based multivariate chart to monitor process dispersion, International journal of advanced manufacturing technology, vol. 44, no. 7, pp. 748-756, doi: 10.1007/s00170-008-1882-x.

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Title A transformation-based multivariate chart to monitor process dispersion
Author(s) Abbasi, B
Niaki, STA
Abdollahian, M
Hosseinifard, Seyedehzahra
Journal name International journal of advanced manufacturing technology
Volume number 44
Issue number 7
Start page 748
End page 756
Total pages 9
Publisher Springer
Place of publication Berlin, Germany
Publication date 2009-10
ISSN 0268-3768
1433-3015
Keyword(s) Science & Technology
Technology
Automation & Control Systems
Engineering, Manufacturing
Engineering
Multivariate quality control
Process dispersion
Transformation technique
QUALITY-CONTROL
Summary Multivariate monitoring techniques such as multivariate control charts are used to control the processes that contain more than one correlated characteristic. Although the majority of previous researches are focused on controlling only the mean vector of multivariate processes, little work has been performed to monitor the covariance matrix. In this research, a new method is presented to detect possible shifts in the covariance matrix of multivariate processes. The basis of the proposed method is to eliminate the correlation structure between the quality characteristics by transformation technique and then use an S chart for each variable. The performance of the proposed method is then compared to the ones from other existing methods and a real case is presented.
Language eng
DOI 10.1007/s00170-008-1882-x
Field of Research 150302 Business Information Systems
010401 Applied Statistics
09 Engineering
08 Information And Computing Sciences
01 Mathematical Sciences
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2008, Springer-Verlag London Limited
Persistent URL http://hdl.handle.net/10536/DRO/DU:30084891

Document type: Journal Article
Collection: Department of Information Systems and Business Analytics
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Citation counts: TR Web of Science Citation Count  Cited 7 times in TR Web of Science
Scopus Citation Count Cited 6 times in Scopus
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