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This articles aims to a type of special vehicle so as to optimize its technological process in “three-level” maintenance, proposes uncertain resource-constrained project scheduling problem. As to the scheduling problem with both fuzzy processing time and fuzzy period, it adopts the common triangular fuzzy number to represent the fuzzy processing time and fuzzy completion time of the process and the trapezoidal fuzzy number to represent the expected period for the project. We put forward a hybrid particle swarm - genetic algorithm for the maintenance process fuzzy scheduling, sets three evaluation index, such as fuzzy completion time, the key human resources load and the agreement index. The algorithm can obtain the eight optimum solutions, and it analyzes the results of the Pareto optimal solution and the influence under different indexes on the scheduling scheme. The result shows that the solution matches the practical situation, its operability is much more than the accuracy scheduling. It provides the theory support for making the reasonable scheduling scheme by the scheduling department.