Universiti Teknologi Malaysia Institutional Repository

Monitoring the variability of beltline moulding process using wilks’s statistic

Mohd. Noor, Aishah and Djauhari, Maman Abdurachman (2010) Monitoring the variability of beltline moulding process using wilks’s statistic. Journal of Fundamental Sciences, 6 (2). pp. 116-120. ISSN 1823-626X

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Official URL: http://mjfas.ibnusina.utm.my/index.php/jfs/article...


Due to the increase of the complexity of customer demand on products and services, monitoring process quality is becoming multivariate in nature. In this setting there are two important parameters to be monitored, i.e., the mean vector and the covariance structure which determines the variability of the process. This paper deals with process variability monitoring of beltline moulding process at an automotive industry where the process is in multivariate setting and monitoring process is based on individual observations. Our approach is based on Wilks’s statistic. A real application will be presented and the strength of that statistic, as well as its limitations, will be discussed.

Item Type:Article
Uncontrolled Keywords:multivariate statistical process control,process variability,covariance matrix, wilks’s statistic
Subjects:Q Science > QA Mathematics
ID Code:38003
Deposited On:14 May 2014 14:37
Last Modified:26 Jan 2015 11:54

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