The development of maintenance principles and methods still has not reached a decision-modeling perspective that allows for the best alternative maintenance decisions to emerge automatically from an optimization. This project is built on previous research on the modeling and optimization of maintenance activities in the aircraft industry and in nuclear and offshore wind power production. Its purpose is to study a generic model for the optimization of maintenance activities. The model will be a mixed-integer multi-stage stochastic programming model that incorporates the uncertainty of the remaining useful lives of components, in the form of conditional distributions such as derived from condition-based monitoring and statistical analysis. The modeling framework is sufficiently general to include corrective, preventive, opportunistic and reliability-centered maintenance. A main focus lies on the construction of an efficient solution methodology; it will be based on an analysis of the polyhedral properties of the convex hull of feasible solutions and of the Markov properties of the activities. Cases will be studied particularly in the wind power industry.
Keywords: Preventive maintenance at opportunities; policy; reliability