Coupling AltaRica models with optimization heuristics for the assessment of maintenance policies
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The main objective of this thesis is do maintenance optimization for a system using AltaRica simulation tools. Maintenance optimization is based on the assessment of maintenance policy. Stochastic simulation is applied to assessment the performance of the maintenance policy. The simulation process consists of several steps. First, build the AltaRica model. Second, compile the AltaRica model using compiler from AltaRica project. Third, prepare indicator description file and generate the simulator. Fourth, prepare mission description file and execute the simulator. After this process, the simulation is conducted and the result will be stored in a csv file. Maintenance optimization is based on the simulation process. Among a large number of candidate solutions for maintenance policy, metaheuristic algorithm can lift the searching efficiency for the optimum solution. Some algorithms help to skip unnecessary simulation and avoid repeated work. The combination of AltaRica simulation tools and metaheuristic algorithm realizes the efficient automation of maintenance optimization process. This project makes the connection of these two parts and achieves the objective.