Robotic Two-sided Assembly Line Balancing Based On Levy Flight And Grey Wolf Algorithm

In Made in China 2025 asked that should develop new intelligent manufacturing,among which the core components are: increase the popularization and application of robots,strengthen corresponding intelligent control,and meet the requirements of green processing procedures.In the actual machining process,there are robotic production lines replacing human beings in every link.The stamping shop and body shop are especially used for robots.Enterprises adopt various ways to improve production efficiency.Two-sided assembly line is one of the methods.Robot is used to replace human in the two-sided assembly line to carry out production operation,and further improve production efficiency and operation accuracy.Robots can replace people to do some dangerous jobs and improve the quality of products.However,the energy consumption and cost of purchasing equipment will lead to additional production costs.Therefore,how to achieve the balance of robotic two-sided assembly line,and reduce the energy consumption and input cost of robot is a problem to be solved.This paper focuses on the balance of robotic two-sided assembly line.Complete the overall goal of cycle time,energy consumption and minimum input,and build a professional mathematical model suitable for balance based on multiple constraint elements such as priority,direction and process direction.The Levy Flight is introduced based on the Gray Wolf Optimizer(GWO).Levy Flight can effectively expand the search range of wolves and avoid the algorithm falling into local convergence.Greedy strategy can ensure that the initial value is the optimal solution when the next wolf swarm position is updated after each GWO and Levy Flight optimization,so as to avoid the worst or the worse solution.In order to verify the feasibility and superiority of the algorithm,using Levy-GWO algorithm solves the benchmark case,and compares it with the Genetic Algorithm(GA),Bat Algorithm(BA).By taking the floor robotic two-sided assembly line in the body of an automobile company as a case study on the experimental simulation is analyzed.The case procedure and robots are coded and decoded,and the Levy-GWO,GA and H-GWO are used to solve the balance problem of robot two-sided assembly line.The Levy-GWO algorithm has better performance in the balancing problem of robot two-sided assembly line,which can effectively reduce the beat,energy consumption and robot investment cost,and has a good application prospect.