Abstract: In order to solve the problem of the chaotic production scheduling process in the hydraulic component manufacturing workshop, a multi-objective flexible production scheduling optimization algorithm based on NSGA-Ⅱ was proposed, and a related mathematical model was established. Adopting non-dominant sorting and elite reserve strategies, and designing algorithmic encoding and decoding and genetic operators for crossover, selection and mutation. Finally, through case analysis, the global optimal solution based on basic processing time, equipment load rate and production cost is compared with the optimized value of traditional genetic algorithm. It can be seen that this algorithm can improve the production scheduling efficiency of hydraulic manufacturing workshop.