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Activity Number: 478
Type: Contributed
Date/Time: Wednesday, August 9, 2006 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #306380
Title: Bayesian Semiparametric Analysis for a Single-Item Maintenance Optimization
Author(s): Elmira Popova*+ and Paul Damien and Timothy Hanson
Companies: The University of Texas at Austin and The University of Texas at Austin and University of Minnesota
Address: 1 University Station, C2200, Austin, TX, 78703,
Keywords: Bayesian ; nonparametric ; optimization ; maintenance
Abstract:

We address the problem of a finite horizon single item maintenance optimization structured as a combination of preventive and corrective maintenance in a nuclear power plant environment. We present Bayesian semiparametric models to estimate the failure time distribution and costs involved. The objective function for the optimization is the expected total cost of maintenance over the pre-defined finite time horizon. We show the effectiveness of our approach using real data from the South Texas Project Nuclear Operating Company (STPNOC) located in Bay City, Texas.

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