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Comparison of three multivariate process capability indices

  • F. K. Wang*
  • , Norma F. Hubele
  • , Frederick P. Lawrence
  • , John D. Miskulin
  • , Hamid Shahriari
  • *Corresponding author for this work
  • Chang Gung University
  • Arizona State University
  • Coll. of Eng. and Applied Sciences
  • ITRON
  • K.N. Toosi University of Technology

Research output: Contribution to journalJournal Article peer-review

90 Scopus citations

Abstract

Process capability analysis often entails characterizing or assessing processes or products based on more than one engineering specification or quality characteristic. When these variables are related characteristics, the analysis should be based on a multivariate statistical technique. In this expository paper, three recently proposed multivariate methodologies for assessing capability are contrasted and compared. Through the use of several graphical and computational examples, the information summarized by these methodologies is illustrated and their usefulness is discussed.

Original languageEnglish
Pages (from-to)263-275
Number of pages13
JournalJournal of Quality Technology
Volume32
Issue number3
DOIs
StatePublished - 2000
Externally publishedYes

Keywords

  • Capability Indices
  • Multivariate Capability Indices
  • Multivariate Normal Distribution

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