DocumentCode
3512543
Title
Process Capability Evaluation in Skew Distributed Processes Based on SWV Method
Author
Yang Jianfeng
Author_Institution
Coll. of Commercial, Zhengzhou Univ., Zhengzhou
fYear
2007
fDate
21-25 Sept. 2007
Firstpage
5919
Lastpage
5922
Abstract
Process capability analysis is an important quality tools in 6Sigma management. The calculating methods of standard capability indices in process capability assessment are based on the hypothesis that the distributions of process output are normal or approximate normal. There is a lot of practice cases in which the output isn´t normal. Because the forms of these distributions are unknown, the results of evaluation may be misleading to a judgment about the processes. When the distribution is on the skew, the clements method is used after estimating the form of distribution by a lot of data from process output. With the not truly known distribution, there is big gap in the assessment result. Based on Scaled weighted variance method, some process capability indices formulas, which can be used in skew distribution, are established in the paper. The simulation study was done for comparison between the WV-based and SWV-based PCI.
Keywords
process capability analysis; 6Sigma management; process capability index; scaled weighted variance method; skew distributed processes; Continuous improvement; Continuous production; Decision making; Educational institutions; Gaussian distribution; Manufacturing industries; Principal component analysis; Probability density function; Quality management; Random variables;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1311-9
Type
conf
DOI
10.1109/WICOM.2007.1451
Filename
4341226
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