Graphical evaluation of mixture-process variable designs within a split-plot structure

Tae Yeon Cho, Connie M. Borror, Douglas Montgomery

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In mixture-process variable experiments, the number of runs can become prohibitively large as the number of variables (process or mixture) increases. In addition, some variables can be hard-to-change due to practical or economical considerations. In these cases, the split-plot design is often used to overcome the restricted randomisation problem. In this paper, fraction of design space (FDS) plots for a mixture-process variable design within a split-plot structure are developed and demonstrated. FDS plots are used to evaluate the prediction capability of various designs. Sliced FDS plots are presented to show the influence of mixture variables and process variables on the prediction variance over the design space.

Original languageEnglish (US)
Pages (from-to)2-26
Number of pages25
JournalInternational Journal of Quality Engineering and Technology
Volume1
Issue number1
DOIs
StatePublished - Jan 1 2009

Keywords

  • FDS
  • MPV
  • design evaluation
  • fraction of design space plot
  • mixture-process variable experiments
  • split-plot design

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality

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