关键词: 混流装配系统, 情绪, 复杂度, 产品质量, 量子遗传算法

Abstract: Aiming at the problem that operator's emotion state affected the product quality in production system,based on choice complexity and operator's emotion,an optimization model for product quality of the mixed-model assembly line was established by taking Rolled Throughput Yield (RTY) as the optimization objective.Quantum genetic algorithm was applied to solve the model,the segmental encoding was used to effectively deal with continuous and discrete variables,the mutation based on tabu search was used to enhance the global search ability of the algorithm.The effectiveness of the model and the improvement effect of the algorithm were verified by the example.The results showed that the emotion state of operators had a great influence on the rolled throughput yield of assembly system.Emotional factors could increase the RTY of assembly system by optimizing the operator's emotion type and arousal degree,which could further improve the product quality based on complexity optimization.

Key words: mixed model assembly system, emotion, complexity, product quality, quantum genetic algorithm