Handling maintenance projects with matrix-based methods

Abstract

Creating a maintenance plan for production and service processes can be handled as a special area of project planning, because the order of the tasks are negotiable in most cases, but the order of the operations within the tasks are fixed. In this paper we present an expert system which is capable of finding the optimal maintenance plan by applying risk based ranking of the tasks with consideration of time and resource constraints. Estimating reliabilities, theory of stochastic process and expression of measurement uncertainty are also applied and improved in order to handle decision errors and their consequences. The expert system determines when a given task should be accomplished and the time, cost and resource demands of the realization. © 2013 Springer Science+Business Media.