基于遗传算法的RV减速器生产线优化设计

Optimized Design of RV Reducer Production Line based on Genetic Algorithm

精密RV减速器是发展工业机器人技术的关键一环,但是目前国内仍很难对其实现规模化生产。文章针对RV减速器混流装配线存在的生产不平衡和整体效率低的问题建立数学模型,提出通过考虑紧前工序的交换变异遗传算法来解决传统遗传算法易陷入最优解的缺陷,然后采用Flexsim软件对RV减速器混流装配生产线进行建模和仿真,验证了所提方法的有效性。验证结果表明,优化后生产节拍缩短了0.8,生产平衡率提升了18%,而平滑度指数从1.3下降至0.72,生产效率得到显著提高。

Precision RV reducers are the key components in development of the industrial robot technology,but large-scale production is still challenging to achieve domestically.In this paper,a mathematical model is established to address the production imbalance and overall inefficiency in the mixed-flow assembly line of RV reducers.It proposes a swap mutation genetic algorithm considering preceding processes to overcome the traditional genetic algorithm's tendency to get trapped in local optima.The RV reducer mixed-flow assembly production line is modeled and simulated by using Flexsim software,then the effectiveness of the method is also validated.The results show that after optimization,the production cycle time is reduced by 0.8 second,the production balance rate has improved by 18%,and the smoothness index has been reduced from 1.3 to 0.72,which significantly enhances the production efficiency.