关键词: 废旧产品, 选择性拆解, 拆解任务规划, 蜜蜂算法

Abstract: Regarding the problem that the pre-planned solution of disassembly task for end-of-life products suffers from poor applicability due to missing parts and non-removable parts,a selective disassembly task planning method considering the disassembly uncertainty of end-of-life products was proposed.The disassembly constraint model considering factors such as missing and non-removable parts was constructed.Combined with the robotic and operator's disassembly task execution characteristics,a disassembly task allocation method based on multidimensional attributes was proposed.Afterwards,a mathematical model for the selective disassembly task planning problem was constructed.By integrating the variable neighborhood search method based on feasible disassembly part combination sets,the improved discrete bee algorithm was used to generate optimal solution of selective disassembly task planning problem.Finally,to disassemble the power battery and gearbox,the effectiveness of proposed method was verified under the conditions of different algorithm parameters,different neighborhood search strategies,and different disassembly factors,and the performance of the proposed algorithm was compared with other algorithms.The results showed that the proposed method had better performance and good stability.

Key words: end-of-life products, selective disassembly, disassembly task planning, bee algorithm