Multiobjective design of equivalent accelerated life testing plans

Haitao Liao, Zhaojun Li

Research output: Contribution to journalArticle

11 Citations (Scopus)

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 2008
Externally publishedYes

Fingerprint

Testing
Data envelopment analysis
Self organizing maps
Sorting
Genetic algorithms
Planning
Costs
Experiments

Keywords

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

ASJC Scopus subject areas

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

Cite this

Multiobjective design of equivalent accelerated life testing plans. / Liao, Haitao; Li, Zhaojun.

In: International Journal of Reliability, Quality and Safety Engineering, Vol. 15, No. 6, 12.2008, p. 515-538.

Research output: Contribution to journalArticle

@article{161bd72297ef4f3db482a20dbce5ffab,
title = "Multiobjective design of equivalent accelerated life testing plans",
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.",
keywords = "Accelerated life testing plan, DEA, Equivalency, Multiobjective decision making, NSGA-II, SOM",
author = "Haitao Liao and Zhaojun Li",
year = "2008",
month = "12",
doi = "10.1142/S0218539308003209",
language = "English (US)",
volume = "15",
pages = "515--538",
journal = "International Journal of Reliability, Quality and Safety Engineering",
issn = "0218-5393",
publisher = "World Scientific Publishing Co. Pte Ltd",
number = "6",

}

TY - JOUR

T1 - Multiobjective design of equivalent accelerated life testing plans

AU - Liao, Haitao

AU - Li, Zhaojun

PY - 2008/12

Y1 - 2008/12

N2 - 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.

AB - 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.

KW - Accelerated life testing plan

KW - DEA

KW - Equivalency

KW - Multiobjective decision making

KW - NSGA-II

KW - SOM

UR - http://www.scopus.com/inward/record.url?scp=64249104890&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=64249104890&partnerID=8YFLogxK

U2 - 10.1142/S0218539308003209

DO - 10.1142/S0218539308003209

M3 - Article

AN - SCOPUS:64249104890

VL - 15

SP - 515

EP - 538

JO - International Journal of Reliability, Quality and Safety Engineering

JF - International Journal of Reliability, Quality and Safety Engineering

SN - 0218-5393

IS - 6

ER -