Aiming at solving the multi-objective green scheduling problem in the manufacturing cell stage of the thin film transistor liquid crystal display (TFT-LCD), an optimization model was constructed to minimize the maximum completion time, total energy consumption and total production cost. Adopting two-stage coding based on machine and process, using an improved cuckoo search algorithm with dynamic coefficients added on the step size factor, and combining the techniques of dual championship and dynamic elimination system, the Pareto optimal solution set was filtered out according to the aggregation distance method to obtain the Pareto optimal solution set to solve the scheduling problem. The results show that the improved cuckoo search algorithm is superior to the standard cuckoo search algorithm and the fast non-dominated genetic algorithm with elite strategy, which can improve the efficiency and quality of the multi-objective green scheduling problem in the TFT-LCD manufacturing cell stage.