Multiobjective design of equivalent accelerated life testing plans

Haitao Liao, Zhaojun Li

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

This paper is focused on the multiobjective design of equivalent accelerated life test (ALT) plans. Equivalent ALT plans are expected to achieve the same statistical performance as a baseline ALT plan yet lead to other desired performance measures such as reduced test time and total cost. Before determining the desired multiobjective equivalent ALT plans, an efficient fast non-dominated sorting genetic algorithm (NSGA-II) is utilized to identify a set of Pareto optimal solutions. To handle a large number of Pareto optimal solutions, a self-organizing map (SOM) and data envelopment analysis (DEA) are sequentially applied to classify the Pareto solutions and reduce the size of the suggested solution set. This integrated approach allows for the tradeoff of information among the Pareto solutions and the reduction in the size of the solution set. It provides a useful tool for practitioners to make meaningful decisions in planning ALT experiments.

Original languageEnglish (US)
Pages (from-to)515-538
Number of pages24
JournalInternational Journal of Reliability, Quality and Safety Engineering
Volume15
Issue number6
DOIs
StatePublished - Dec 1 2008

Keywords

  • Accelerated life testing plan
  • DEA
  • Equivalency
  • Multiobjective decision making
  • NSGA-II
  • SOM

ASJC Scopus subject areas

  • Computer Science(all)
  • Nuclear Energy and Engineering
  • Safety, Risk, Reliability and Quality
  • Aerospace Engineering
  • Energy Engineering and Power Technology
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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