Three-Dimensional Variance Dispersion Graphs for Mixture-Process Experiments

Heidi B. Goldfarb, Connie M. Borror, Douglas Montgomery, Christine M. Anderson-Cook

Research output: Contribution to journalArticle

27 Scopus citations

Abstract

In a mixture experiment, the design factors are the proportions of the components of a mixture, and the response variables depend only on these component proportions. In addition to the mixture components, the experimenter may be interested in other variables that can be varied independently of one another and of the mixture components. Such mixture-process experiments are common in industry. There are many strategies based on different design criteria that are used to create designs involving both types of variables. We develop variance dispersion graphs (VDGs) to evaluate mixture-process designs and illustrate how the graphs are used with two examples.

Original languageEnglish (US)
Pages (from-to)109-124
Number of pages16
JournalJournal of Quality Technology
Volume36
Issue number1
DOIs
StatePublished - Jan 2004

Keywords

  • Mixture Experiments
  • Prediction Variance
  • Variance Dispersion Graphs

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Fingerprint Dive into the research topics of 'Three-Dimensional Variance Dispersion Graphs for Mixture-Process Experiments'. Together they form a unique fingerprint.

  • Cite this