Multivariate Process Variability Monitoring Through Projection

• Autores: Shuguang Hao, Shiyu Zhou, Yu Ding
• Localización: Journal of quality technology: A quarterly journal of methods applications and related topics, ISSN 0022-4065, Vol. 40, Nº. 2, 2008, págs. 214-226
• Idioma: inglés
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• Resumen

  • A linear process model is often built to connect the multivariate quality measurements with a set of fixed assignable causes. The column space of this model provides a subspace for projection and subsequent monitoring of a shift in the mean. However, such a projection may not be suitable for monitoring variability. An alternative projection statistic, called VS, is proposed for constructing a multivariate variability monitoring chart. The VS chart has less restrictive requirements on the process model and improved detection when compared with competing methods.