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Achieving growth in reliability

Ansell, J.I. and Walls, L.A. and Quigley, J.L. (1999) Achieving growth in reliability. Annals of Operations Research, 91. pp. 11-24. ISSN 0254-5330

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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.

Item type: Article
ID code: 17522
Keywords: reliability growth, innovation, data analysis, Bayesian statistics, importance measures, Monte Carlo Markov chains, Environmental Sciences, Decision Sciences(all), Management Science and Operations Research
Subjects: Geography. Anthropology. Recreation > Environmental Sciences
Department: Strathclyde Business School > Management Science
Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 22 Apr 2010 14:45
    Last modified: 05 Sep 2014 01:03
    URI: http://strathprints.strath.ac.uk/id/eprint/17522

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