Optimal scheduling of glass substrate evaporation based on improved genetic algorithm

Aiming at the problems of long production cycle and low equipment utilization rate in glass substrate evaporation process, the batch scheduling model of glass substrate evaporation process was established by analyzing the process characteristics such as manufacturing resource constraints and batch rules, with the maximum completion time as the optimization objective, and an improved genetic algorithm was designed to solve it. In the initialization phase of the algorithm, a heuristic strategy based on grouping is designed to improve the quality of the initial population; In the process of population iteration, adaptive crossover and mutation operations are used to obtain more excellent individuals. Finally, the effectiveness of the proposed model and the superiority of the algorithm are verified by a case study on the actual production data of a screen manufacturing enterprise.