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
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