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In relation to this article, we declare that there is no conflict of interest.
Publication history
Received December 17, 2014
Accepted June 20, 2015
articles This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Dynamic optimization of maintenance and improvement planning for water main system: Periodic replacement approach

School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-744, Korea 1Samchully Corporation, 42 Gukjegeumyung-ro, 6-gil, Yeongdeungpo-gu, Seoul 150-885, Korea
jongmin@snu.ac.kr
Korean Journal of Chemical Engineering, January 2016, 33(1), 25-32(8), 10.1007/s11814-015-0133-8
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Abstract

This paper proposes a Markov decision process (MDP) based approach to derive an optimal schedule of maintenance, rehabilitation and replacement of the water main system. The scheduling problem utilizes auxiliary information of a pipe such as the current state, cost, and deterioration model. The objective function and detailed algorithm of dynamic programming are modified to solve the periodic replacement problem. The optimal policy evaluated by the proposed algorithm is compared to several existing policies via Monte Carlo simulations. The proposed decision framework provides a systematic way to obtain an optimal policy.

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