Optimization models and methods under nonstationary uncertainty

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 utiliz...

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Bibliographic Details
Main Author: Belyi, Dmitriy
Format: Others
Language:English
Published: 2010
Subjects:
Maintenance optimization
Stochastic optimization
Failure rate modeling
Bayesian nonparametrics
Online Access:http://hdl.handle.net/2152/ETD-UT-2010-08-1685
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spelling ndltd-UTEXAS-oai-repositories.lib.utexas.edu-2152-ETD-UT-2010-08-16852015-09-20T16:56:13ZOptimization models and methods under nonstationary uncertaintyBelyi, DmitriyMaintenance optimizationStochastic optimizationFailure rate modelingBayesian nonparametricsThis 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.text2010-12-07T23:02:18Z2010-12-07T23:02:31Z2010-12-07T23:02:18Z2010-12-07T23:02:31Z2010-082010-12-07August 20102010-12-07T23:02:32Zthesisapplication/pdfhttp://hdl.handle.net/2152/ETD-UT-2010-08-1685eng
collection NDLTD
language English
format Others
sources NDLTD
topic Maintenance optimization
Stochastic optimization
Failure rate modeling
Bayesian nonparametrics
spellingShingle Maintenance optimization
Stochastic optimization
Failure rate modeling
Bayesian nonparametrics
Belyi, Dmitriy
Optimization models and methods under nonstationary uncertainty
description 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
author Belyi, Dmitriy
author_facet Belyi, Dmitriy
author_sort Belyi, Dmitriy
title Optimization models and methods under nonstationary uncertainty
title_short Optimization models and methods under nonstationary uncertainty
title_full Optimization models and methods under nonstationary uncertainty
title_fullStr Optimization models and methods under nonstationary uncertainty
title_full_unstemmed Optimization models and methods under nonstationary uncertainty
title_sort optimization models and methods under nonstationary uncertainty
publishDate 2010
url http://hdl.handle.net/2152/ETD-UT-2010-08-1685
work_keys_str_mv AT belyidmitriy optimizationmodelsandmethodsundernonstationaryuncertainty
_version_ 1716821166159560704

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