Learning to improve reliability during system development

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Research, conducted in collaboration with a leading aerospace manufacturer, aimed to facilitate learning in order to improve the reliability of engineering systems during their development phase. In particular, the processes and mathematical models used during reliability growth testing were investigated to assess how they might be better used to support this improvement. This required both soft and hard OR approaches to be adopted. For example, information flows were mapped and reengineered in order to provide a basis for more effective data collection and feed-back to decision-makers. A new mathematical model that combines failure data with engineering judgement was developed to estimate reliability growth. The paper presents a case study describing the problem, the modelling conducted, the recommendations made and the actions implemented. The ways in which the researchers and the manufacturer learnt to improve both the modelling and the reliability growth testing process are reflected upon.
LanguageEnglish
Pages495-509
Number of pages14
JournalEuropean Journal of Operational Research
Volume119
Issue number2
DOIs
Publication statusPublished - 1 Dec 1999

Fingerprint

Reliability Growth
System Development
Mathematical Model
Testing
Systems Engineering
Information Flow
Mathematical models
Modeling
Process Model
Recommendations
Systems engineering
Engineering
Feedback
Estimate
Learning
System development
Mathematical model

Keywords

  • reliability
  • engineering
  • decision support
  • learning
  • statistics

Cite this

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title = "Learning to improve reliability during system development",
abstract = "Research, conducted in collaboration with a leading aerospace manufacturer, aimed to facilitate learning in order to improve the reliability of engineering systems during their development phase. In particular, the processes and mathematical models used during reliability growth testing were investigated to assess how they might be better used to support this improvement. This required both soft and hard OR approaches to be adopted. For example, information flows were mapped and reengineered in order to provide a basis for more effective data collection and feed-back to decision-makers. A new mathematical model that combines failure data with engineering judgement was developed to estimate reliability growth. The paper presents a case study describing the problem, the modelling conducted, the recommendations made and the actions implemented. The ways in which the researchers and the manufacturer learnt to improve both the modelling and the reliability growth testing process are reflected upon.",
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Learning to improve reliability during system development. / Walls, L.A.; Quigley, J.L.

In: European Journal of Operational Research, Vol. 119, No. 2, 01.12.1999, p. 495-509.

Research output: Contribution to journalArticle

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