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 0254-5330Full text not available in this repository. (Request a copy from the Strathclyde author)
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.
|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|
|Depositing user:||Strathprints Administrator|
|Date Deposited:||22 Apr 2010 13:45|
|Last modified:||22 Mar 2017 10:33|