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Achieving growth in reliability

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  • J. Ansell
  • L. Walls
  • J. Quigley

Abstract

There exists a considerable literature on reliability growth modelling. Recently somecommon models have been extended to encompass innovation. They assume the time of aninnovation is known and that there is a coincidental improvement in performance. However,despite such developments, it remains that most models do not fully address the engineeringconcerns as they do not capture the underlying physical processes and they tend to beoptimistic about ensuing performance. This paper aims to address these issues by specifyinga general framework for reliability growth that supports more effective modelling. Further,we develop a strategy for using such models proactively during development to facilitatemeaningful improvements in reliability performance. Copyright Kluwer Academic Publishers 1999

Suggested Citation

  • J. Ansell & L. Walls & J. Quigley, 1999. "Achieving growth in reliability," Annals of Operations Research, Springer, vol. 91(0), pages 11-24, January.
    • Handle: RePEc:spr:annopr:v:91:y:1999:i:0:p:11-24:10.1023/a:1018985303897
    DOI: 10.1023/A:1018985303897
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    Cited by:

    1. Walls, Lesley & Quigley, John, 1999. "Learning to improve reliability during system development," European Journal of Operational Research, Elsevier, vol. 119(2), pages 495-509, December.
    2. Zitrou, Athena & Bedford, Tim & Walls, Lesley, 2016. "A model for availability growth with application to new generation offshore wind farms," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 83-94.
    3. John Quigley & Lesley Walls, 2003. "Cost–benefit modelling for reliability growth," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(12), pages 1234-1241, December.

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