关键词: 再制造, 拆卸, 调度, 双重模糊变量, 混合智能算法

Abstract: Aiming at the uncertainty factors of recycled engines,the disassembly scheduling of remanufacturing disassembly was researched.Fuzzy comprehensive evaluation method was adopted for quality level division to reduce the impact of the uncertain factors during the disassembly process.The uncertainty of quality differences and disassembly time was described by using bifuzzy variables,and the scheduling model for remanufacturing disassembly workshop was built based on dual fuzzy chance constraints.Input and output data were generated with dual fuzzy simulation technology,and uncertain function of the proposed model was approximated with neural networks.The trained neural networks were embedded into genetic algorithm to solve the optimal solution.An application example was provided to validate the feasibility and effectiveness of this hybrid intelligent algorithm for scheduling problem with double uncertainty.

Key words: remanufacturing, disassembly, scheduling, bifuzzy variables, hybrid intelligent algorithm