关键词: 混流装配线平衡, 心理压力, 体力消耗, 自适应遗传算法, 整体退火

Abstract: To solve the problem that the production efficiency and quality was affected by worker state,a mixed-model assembly lines balancing model with ergonomic restrictions was developed to minimize the number of stations and balance indexes by considering and modifying the operator's psychological pressure and physical consumption constraints based on the operator's idle rate and working posture.An improved genetic algorithm was used to solve this model,the selection operation based on global annealing method was adopted to improve the population precocity and later convergence speed of genetic algorithm with the adaptive operator and catastrophe mechanism.The effectiveness of proposed model and algorithm was verified by two scale examples.The results showed that considering human factors could further balance the human load of workstation on the premise of ensuring assembly line balance,meet the operator's psychological and physiological needs better,and improve the operation stability and efficiency of operators.

Key words: mixed-model assembly lines balancing, psychological pressure, physical exhaustion, adaptive genetic algorithm, global annealing