Research On Optimization And Simulation Of Balance And Sequence Of Mixed-Flow Assembly Line

At present,due to the increasing demand for intelligent production in the manufacturing industry and the increasing demand for personalized and customized products by the customers,the mixed-flow assembly line that can compatible with the production of different products has gradually replaced the assembly line of a single product.In order to ensure the efficient operation of the mixed-flow assembly line,it is particularly important to improve the problems in the mixed-flow assembly line.This paper analyzed the current research status of the mixed-flow assembly line,used the combination of intelligent algorithm and the simulation technology to optimize the two main problems of the mixed-flow assembly line(balance problem and production scheduling problem).The mainly steps of the combination optimization include balance optimization and scheduling optimization and simulation optimization.Firstly,according to the characteristics of the mixed-flow assembly line balance problem,this paper selected the first kind balance problem to optimize,analyzed the goals of balance problem optimization,established a Multi-objective optimization model with three goals,minimized the load imbalance between workstations,and minimized the processing time fluctuation in the workstation and minimized the number of workstations.Considering the characteristics of the solution method for balance problem,this paper designed a specific genetic algorithm based on tabu search to solve the problem,and described the implementation process of core operator of the hybrid algorithm;finally,this paper through solved an example mixed-flow assembly line and obtained the best case allocation method to prove the effectiveness of the model and algorithm.Secondly,on the basis of balance optimization,this paper established an scheduling optimization model,this model with the workstation idleness and product waiting time minimization as the goals.According to the characteristics of scheduling problem,this paper designed a specific genetic algorithm based on tabu search to solve the problem,and described the implementation process of core operator of the hybrid algorithm;finally,this paper got the best scheduling sequence of the case,analyzed the effect before and after the optimization of the scheduling to prove the effectiveness of the model and algorithm.The above two-step optimization used static analysis methods,it did not consider the impact of randomness of the production line.For this reason,after the two-step optimization of balance and scheduling,this paper used Flexsim simulation software to establish the simulation model of the mixed-flow assembly line.Then this paper introduced the layout of the simulation model,the initial data of the model and the setting method of the simulation parameters,and analyzed the simulation results,it is found that there are still two main bottlenecks on the mixed-flow assembly line,then optimized and improved the two bottlenecks.Finally,this paper analyzed the optimization results of assembly line to verify the effect of simulation optimization.Through the above three steps of optimization,the assembly line became more efficient and balanced,this case reduced the cost of production and enhanced the core competitiveness of the enterprise.At the same time,the three-step optimization method proposed in this paper has guiding significance for the research of mixed-flow assembly line.