Optimization of Intelligent Production Line for Additive Manufacturing Based on Factory Simulation
To address the verification and optimization of the preset program for the additive manufacturing production line of a certain aero engine's core components,Factory Simulation production system simulation software was used to construct a 2D model of workshop layout and AGV logistics route.Logistics scheduling data was input and the DOE method was used to minimize the completion time of production volume.The bottleneck processes were identified as fitter,ultrasonic cleaning and X-ray workstations.The AGVs utilization under the current preset conditions was obtained in the simulation environment.After analyzing the bottleneck workstations,the optimal number of processing stations was obtained through comparison.The optimal number of AGVs was discussed based on the average response time of AGVs during normal operation in the workshop.After optimization,the time to achieve the annual production target of the assembly line was reduced by 12%,and the logistics equipment cost in the workshop was reduced by 20%.The optimization results provide effective suggestions for improving the production efficiency and reducing the cost of the preset workshop.