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

摘要： 针对操作者情绪状态影响生产系统产品质量的问题,以最大化装配系统流通合格率(RTY)为目标,考虑选择复杂度与操作者情绪建立了混流装配系统产品质量优化模型,并使用改进量子遗传算法进行求解。采用分段式编码有效应对连续变量和离散变量,并使用基于禁忌搜索的染色体变异加强了算法的全局搜索能力。通过算例证明了模型的有效性和算法的改进效果,结果表明操作者情绪状态对装配系统的流通合格率有着较大影响。考虑情绪因素,能够通过优化操作者的情绪类型与唤醒度来提高装配系统流通合格率,在复杂度优化的基础上进一步改善装配系统的产品质量。

关键词: 混流装配系统, 情绪, 复杂度, 产品质量, 量子遗传算法