Research On Man-robot Collaborative Bilateral Assembly Line Balancing Problem Considering Workload

Under the background of "Industry 4.0",the manufacturing industry is committed to realizing the automation and intelligence of the production process,and more and more collaborative robots are put into the production site.The man-robot collaborative assembly model emerged and was widely used in bilateral assembly lines to improve production efficiency.With the progress of production mode,workers’ self-protection consciousness is also gradually enhanced,and their demands for matching work and salary are stronger than ever.Assembly line balancing is not only the balance of working hours at each station,but also the balance of workload.At present,most of the researches on the balance of the bilateral assembly lines focus on the traditional bilateral assembly line with only a single assembly mode of workers or robots,and there is a lack of discussion on the man-robot collaborative assembly mode,and few researches on the specific differentiation of man-robot collaborative assembly mode according to the execution logic of tasks at the man-robot collaborative workstation.In addition,most of the current studies take traditional production indicators such as the number of stations,cycle time and cost as optimization targets,lacking consideration of workload factors,which does not meet the ergonomics requirements of modern production.This paper systematically studies the man-robot collaborative bilateral assembly line balancing problem considering workload.Firstly,according to the different execution logic of tasks in the man-robot collaborative work station,the man-robot collaboration mode is specifically distinguished,the appropriate assessment method of workload is selected.and the multi-objective planning model for the man-robot serial collaboration bilateral assembly line balancing problem considering the workload is established.Besides the two optimization objectives of cycle time and cost,the balance of working time and workload between stations was fully considered,a new optimization objective of comprehensive smoothing index is added.Thirdly,the original migrating birds optimization algorithm is improved,and it is extended to the multi-objective field to realize the efficient and accurate solution of the model.Finally,the research content is applied to the bilateral assembly line balancing optimization problem of H enterprise,a set of pareto optimal solutions are obtained in a given time,and some specific task allocation schemes are given for decision makers to choose.The optimization results show that this paper has certain application value.