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Optimization models and methods under nonstationary uncertainty

This research focuses on finding the optimal maintenance policy for an item with varying failure behavior. We analyze several types of item failure rates and develop
methods to solve for optimal maintenance schedules. We also illustrate nonparametric modeling techniques for failure rates, and utilize these models in the optimization methods. The general problem falls under the umbrella of stochastic optimization
under uncertainty. / text

Identiferoai:union.ndltd.org:UTEXAS/oai:repositories.lib.utexas.edu:2152/ETD-UT-2010-08-1685
Date07 December 2010
CreatorsBelyi, Dmitriy
Source SetsUniversity of Texas
LanguageEnglish
Detected LanguageEnglish
Typethesis
Formatapplication/pdf

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