@inproceedings{996e7e66c06240aabf7b6898f92504db,
title = "Reliability-based optimization of maintenance and repair for a system of bridges",
abstract = "This research addresses the determination of optimal bridge maintenance and replacement policies for a system of heterogeneous facilities. The problem of optimizing maintenance and replacement policies at the system level is formulated in a reliability-based framework, based on policies that are optimal at the facility level. The facility-level policies are determined using a finite-state, finite horizon Markov decision process in which the state of the Markov chain contains information on the history of maintenance and deterioration. This article provides formal proofs of the optimality of the system-level results in the continuous case, and a numerical study shows that the results obtained in the discrete-case implementation of the solution are valid approximations of the continuous-case results. The computational efficiency of the system-level solution makes the formulation suitable for systems of realistic sizes.",
author = "Robelin, {C. A.} and Madanat, {S. M.}",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP ; Conference date: 01-08-2011 Through 04-08-2011",
year = "2011",
doi = "10.1201/b11332-35",
language = "English (US)",
isbn = "9780415669863",
series = "Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering",
publisher = "Taylor and Francis Inc.",
pages = "226--234",
booktitle = "Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering",
}