In modern manufacturing industry, the impact of tolerance cost is increasing fast, and reasonable tolerance design plays an important role. Product manufacturing cost was taken as the research object in this paper, the appropriate cost tolerance model was selected, and the tolerance optimization model was established by combining genetic algorithm. Taking antenna window installation as an example, the closed loop dimension chain analysis was carried out first. Then the power exponential tolerance model was used to obtain the cost parameters through the empirical method. Finally, the tolerance optimization problem was transformed into a multi-objective optimization mathematical model. The tolerance values were obtained by genetic algorithm and compared with the equal tolerance method. The results were shown that the manufacturing cost can be effectively reduced by the minimum cost method.
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