关键词: 混流装配系统, 选择复杂性, 人因, 工作站可靠性, 遗传算法

Abstract: Aiming at the optimization of assembly system complexity in mixed-model assembly systems,operators selection complexity was studied.A complexity optimization model based on human factor was developed,and the impact of complexity-induced disturbance factors on workstation reliability was analyzed,which included human fatigue,operators reaction time and so on.Genetic algorithm was applied to solve the model,and MATLAB programming was used for validation.The results showed that the proposed model could better balance the station complexity with greater practical value.

Key words: mixed-model assembly systems, operator choice complexity, human factors, workstation reliability, genetic algorithms