Abstract

A model for the measurements from a multiple stream process is analysed as a special case of a multivariate control chart by principal components analysis. The principal components meet the objective of partitioning the control problem into statistics that are sensitive to two types of assignable causes. Simple test statistics result and performance analyses are provided.

Original languageEnglish (US)
Pages (from-to)2991-2999
Number of pages9
JournalInternational Journal of Production Research
Volume34
Issue number11
StatePublished - 1996

Fingerprint

Statistics
Principal component analysis
Test statistic
Partitioning
Principal components
Multivariate control charts
Control charts

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Cite this

Controlling multiple stream processes with principal components. / Runger, George; Alt, F. B.; Montgomery, Douglas.

In: International Journal of Production Research, Vol. 34, No. 11, 1996, p. 2991-2999.

Research output: Contribution to journalArticle

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