Optimal infrastructure maintenance scheduling problem under budget uncertainty.
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2010-05-01
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Abstract:This research addresses a general class of infrastructure asset management problems. Infrastructure
agencies usually face budget uncertainties that will eventually lead to suboptimal planning if
maintenance decisions are made without taking the uncertainty into consideration. It is important for
decision makers to adopt maintenance scheduling policies that take future budget uncertainty into
consideration. The author proposes a multistage, stochastic linear programming model to address this
problem. The author also develops solution procedures using the augmented Lagrangian
decomposition algorithm and scenario reduction method. A case study exploring the computational
characteristics of the proposed methods is conducted and the benefit of using the stochastic
programming approach is discussed.
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