Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 58298
Optimal Maintenance and Improvement Policies in Water Distribution System: Markov Decision Process Approach

Authors: Go Bong Choi, Jong Min Lee, Jong Woo Kim, Sang Hwan Son, Dae Shik Kim, Jung Chul Suh

Abstract:

The Markov Decision Process (MDP) based methodology is implemented in order to establish the optimal schedule which minimizes the cost. Formulation of MDP problem is presented using the information about the current state of pipe, improvement cost, failure cost and pipe deterioration model. The objective function and detailed algorithm of dynamic programming (DP) are modified due to the difficulty of implementing the conventional DP approaches. The optimal schedule derived from suggested model is compared to several policies via Monte Carlo simulation. Validity of the solution and improvement in computational time are proved.

Keywords: Monte Carlo Simulation, Dynamic Programming, Weibull distribution, Markov decision processes, periodic replacement

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