Developing Expert System for Managing Maintenance Projects

Abstract

Handling specialities of maintenance projects is a highly challenging task. On the one hand the operations of the maintenance task are fixed, and can be described with a network or process planning methods. On the other hand the sequence of realizing maintenance tasks depend on the risks and reliabilities. Therefore, traditional project and process planning methods are not the most appropriate ones at managing the sequence of maintenance tasks. In this paper a new planning method is introduced, where project constraints can be considered in determining the optimal maintenance project. Tasks which have to be realized can be ranked with our method based on their reliabilities or risks. Estimating reliabilities, theory of stochastic process and expressing of measurement uncertainty are also applied and improved in order to handle decision errors and their consequences. To determine feasible maintenance projects an expert system has been developed to determine which application can be used for diagnostic processes and forecasting the failures.