An expected cost methodology for screening design selection

Brian B. Stone, Douglas Montgomery, Edgar Hassler, Rachel T. Silvestrini

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

When investigating many continuous factors under experi-mental cost constraints, an experimenter often selects a screening design from among a variety of published options. This article introduces a novel design selection methodology based on decision trees that identifies which screening design option minimizes the total expected cost of a multistage experiment under model uncertainty. The methodology is illustrated by an example in which a set of traditional and recently published experimental designs are considered for the screening of six potential factors.

Original languageEnglish (US)
Pages (from-to)139-153
Number of pages15
JournalQuality Engineering
Volume26
Issue number2
DOIs
StatePublished - Jan 1 2014

Keywords

  • Monte Carlo simulation
  • decision trees
  • design of experiments
  • orthogonal arrays
  • response surface methods

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Industrial and Manufacturing Engineering

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