DECISION-SUPPORT SYSTEM FOR SERVICE LIFE ASSET MANAGEMENT: THE BELCAM PROJECT Decision-support system for service life

This paper presents the framework of a stochastic decision-support system for life cycle asset maintenance management of building elements and systems. This system is based on a probabilistic modeling of the performance and risk of failure of building components. The maintenance optimization is formulated as a multi-stage and multiobjective optimization problem where the simultaneous satisfaction of several conflicting objectives, including minimization of maintenance costs, maximization of performance, and minimization of risk of failure, is sought. Compromise programming is used to determine the optimal ranking of the deteriorated components in terms of their priority for repair and replacement, by achieving a satisfactory trade-off between the competing or conflicting objectives. A product model of the building system is used to provide the data framework for collecting and processing data.