关键词: 双边拆卸线, 拆卸线平衡问题, 樽海鞘群算法, 帕累托思想

Abstract: In view of the deficiency of the existing two-sided disassembly line in the research on variable disassembly time and robot energy consumption,multi-type robots were introduced into the disassembly line.Combined with the characteristics of two-sided disassembly line,a multi-objective two-sided disassembly line balance model was established to minimize the number of workstations,load balance index,hazard index and robot energy consumption index.The model could dynamically adapt different types of robots for disassembly according to the task allocation,reduce the disassembly time and improve the disassembly efficiency.An improved salpswarm algorithm was proposed,which added Levy flight strategy to avoid falling into local optimization and achieve rapid convergence.The Pareto idea and crowding distance mechanism were introduced to screen the multi-objective solution results to retain the better solution.Compared with many cases,the feasibility and efficiency of the proposed algorithm in the two-sided disassembly line balance problem were verified.The model was applied to the example calculation of two-sided disassembly of waste vehicles,and a variety of excellent schemes were solved for decision-makers to choose.

Key words: two-sided disassembly, disassembly line balancing problem, salp swarm algorithm, Pareto idea