Most maintenance-optimisation models assume an infinite planning horizon and suppose that the failure process is … information (such as a variable use of components and the occurrence of maintenance opportunities). With numerical experiments we … stationary-planning method with the costs according to an approach which can adapt this long-term plan to dynamically changing …

Nowadays railway companies are confronted with high infrastructure maintenance costs. Therefore good strategies are … needed to carry out these maintenance activities in a most cost effective way. In this paper we solve the preventive … maintenance scheduling problem (PMSP) using genetic algorithms, memetic algorithms and a two-phase heuristic based on …

Accurate prediction of medical operation times is of crucial importance for cost efficient operation room planning in … about 1,250 surgical operations in 2009 is improved by up to more than 15 percent as compared to current planning procedures. …

maintenance optimization models which covers almost all models used in practice. For the class of unimodal finite-valued marginal …