An expected cost methodology for screening design selection

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

Research output: Contribution to journalArticle

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 - 2014

Fingerprint

Screening
Costs
Decision trees
Design of experiments
Experiments
Uncertainty

Keywords

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

ASJC Scopus subject areas

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

Cite this

An expected cost methodology for screening design selection. / Stone, Brian B.; Montgomery, Douglas; Hassler, Edgar; Silvestrini, Rachel T.

In: Quality Engineering, Vol. 26, No. 2, 2014, p. 139-153.

Research output: Contribution to journalArticle

Stone, Brian B. ; Montgomery, Douglas ; Hassler, Edgar ; Silvestrini, Rachel T. / An expected cost methodology for screening design selection. In: Quality Engineering. 2014 ; Vol. 26, No. 2. pp. 139-153.
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