Abstract: The final assembly of the customized production line has the characteristics of project-style operation, manual assembly at the customer's site, and a large number of materials required. The assembly teams need travel time to deploy between each customer's site, and the assembly materials are difficult to be prepared as scheduled, which is easy to cause assembly teams and materials wait for each other, thereby extending the production lead time of such production lines. In order to reduce the waiting waste and shorten the delivery time, this paper makes a proactive consideration of the final assembly operation. First established under uncertainty environment more proactive sexual assembly operation scheduling mathematical model, then the robustness of reconciliation with quality robustness as the optimization goal, constructs the binding buffer insertion strategy and sampling time simulation technology of non dominated sorting genetic algorithm (NSGA II) to solve the problem, finally the effectiveness of the algorithm is validated by a practical sample.