Multivariate quality control using principal components

Susan Schall, Jeya Chandra

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

In this research a method of using principal components is developed to control a process which has many output characteristics affecting the quality of the final product. The advantage of using principal components lies in the reduction of the number of variables to be control charted, thereby minimizing the combined probability of a type I error. Expressions using multivariate regression analysis are developed to predict the input variables. Numerical examples are given to illustrate the methodology developed.

Original languageEnglish (US)
Pages (from-to)571-588
Number of pages18
JournalInternational Journal of Production Research
Volume25
Issue number4
DOIs
StatePublished - Apr 1987

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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