A study on EWMA TBE charts with transformed Weibull data

Author

Xie, Y.J. ; Zhang, H.Y. ; Goh, T.N.

Author_Institution

Dept. of Ind. & Syst. Eng., Univ. of Singapore, Singapore

fYear

2008

fDate

21-24 Sept. 2008

Firstpage

1135

Lastpage

1140

Abstract

Six Sigma is a set of systematic statistical tools for improving the quality of the process. Control charts as the last stage of the major Six Sigma methodology show great importance in not only maintaining the process but also improving the process. In this paper, a type of advanced control chart, EWMA chart is proposed to monitor the Weibull distributed TBE data. The recommended Box-Cox transformation method is used to transform the Weibull distributed data into approximate normal distribution before the EWMA chart can be used to monitor it. The ARL is calculated according to the Markov chain method and its properties are investigated. The guidelines for setting up an optimal EWMA chart are provided. Finally a numerical example is given to show the effectiveness of the EWMA chart for the transformed data.

Keywords

Markov processes; Weibull distribution; control charts; normal distribution; six sigma (quality); Box-Cox transformation method; EWMA TBE charts; Markov chain method; Weibull distribution; control charts; normal distribution; six sigma; Condition monitoring; Control charts; Data engineering; Electrical equipment industry; Gaussian distribution; Guidelines; Maintenance engineering; Six sigma; Systems engineering and theory; Weibull distribution; ARL; EWMA chart; Weibull distribution;

fLanguage

English

Publisher

ieee

Conference_Titel

Management of Innovation and Technology, 2008. ICMIT 2008. 4th IEEE International Conference on

Conference_Location

Bangkok

Print_ISBN

978-1-4244-2329-3

Electronic_ISBN

978-1-4244-2330-9

Type

conf

DOI

10.1109/ICMIT.2008.4654529

Filename

4654529