DocumentCode :
2960863
Title :
Non-normal CV Control Charts
Author :
Baek, Jae-Won ; Kang, Chang W. ; Oh, Jong-Min ; Baek, Dong-Hyun ; Song, Chang-Yong
Author_Institution :
Dept. of Ind. Eng., Hanyang Univ., Seoul
Volume :
2
fYear :
2006
fDate :
21-23 June 2006
Firstpage :
778
Lastpage :
782
Abstract :
The coefficient of variation (CV) of a population is defined as the ratio of the population standard deviation to the population mean. It is regarded as a measure of stability or uncertainty, and can indicate the relative dispersion of data in the population to the population mean. CV is a dimensionless measure of scatter or dispersion and is readily interpretable, as opposed to other commonly used measures such as standard deviation, mean absolute deviation. CV is often estimated by the ratio of the sample standard deviation to the sample mean, called the sample CV. In this paper, we propose statistical properties of CV for non-normal data and design of non-normal CV control charts based on non-normal distribution. The proposed control charts are effective methods to monitor the process variation
Keywords :
control charts; statistical process control; coefficient of variation; mean absolute deviation; nonnormal CV control charts; population standard deviation; process variation; statistical process control; Control charts; Dispersion; Gaussian distribution; Industrial engineering; Measurement standards; Monitoring; Production; Scattering; Stability; Statistical distributions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management of Innovation and Technology, 2006 IEEE International Conference on
Conference_Location :
Singapore, China
Print_ISBN :
1-4244-0147-X
Electronic_ISBN :
1-4244-0148-8
Type :
conf
DOI :
10.1109/ICMIT.2006.262326
Filename :
4037124
Link To Document :
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