Layout And Optimization Of Production Line Based On Genetic Algorithm And Simulation

After decades of efforts,China has established a relatively complete aviation technologysystem.Military aircraft such as j-15,j-20,y-20 and wz-10 have proved that China's aviation manufacturing industry is on a fast track of development.With the development of science and technology,the improvement of aircraft production line and the increase of production quantity have become the key research of China's aviation manufacturing industry to adapt to the development.At the same time,Internet technology has been integrated into traditional industry,and production line simulation has become one of the important means for industrial industry to simulate and improve production.In view of the problems encountered in the production workshop of M enterprise,my topic makes an in-depth study to achieve the goal of optimizing the production line,layout optimization and production line simulation.Fistly,aviation engine casing production line of M enterprise was analyzed,and found its bottleneck location,its bottleneck equipment and the causes of the uneven between work for each station.As the goal of setting a certain number of workstations and seeking the minimum production beat of the station,design the specific coding and decoding functions of the two-population genetic algorithm,and get the optimal production beat solution through multiple iterations.It makes the optimized production line relatively balanced for each station and employees' working hours.At the same time,the production process of casing was analyzed,and the ECR(Eliminate,Combine,Rearrange,Simplify)principle was adopted to improve the bottleneck process,adjust the operation order and the use of equipment,and improve the utilization rate of equipment and the balance of equipment operation.Secondly,workshop layout of the optimized casing production line is carried out.Compared with the original layout,the optimized production line equipment has some adjustment.Design a multi-line layout.In this project,genetic algorithm is used for the second time to optimize the location of production equipment in the production line with the lowest logistics distance,so as to find the optimal solution for the layout of the workshop.After optimizing the layout of the production line,the Visual Components intelligent simulation software was selected to simulate the digital factory.Creating the production part model and part of the equipment model by UG,and they were imported into the simulation software to complete the model parameter configuration,action configuration and the logical design of each simulationlink.Setting up the production line simulation before and after the optimization by Visual Components.Finally,after 1080 hours of real time simulation,comparing the important data of the production line before and after being optimized,the production line output before the optimization is 35 pieces,after the optimization is 62 pieces.The logistics distance of each staff before the optimization is 52065 meters,and after the optimization is 28543 meters.The working hours and equilibrium of each station before the optimization are 36.6%,and after the optimization are 95.2%.By comparison,it can be seen that not only improves the balance of each station,but also improves the utilization rate of the equipment and the output.At the same time,the logistics distance is greatly reduced after the optimization.