考虑脑力负荷的自治装配单元绩效优化

Study on the Performance Optimization of Autonomous Assembly Unit Based on the Mental Workload

针对脑力负荷过高导致产品质量低、脑力负荷过低导致生产效率低的问题,对自治装配单元中的绩效优化模式进行了研究.模式综合考虑质量和效率,以最佳绩效为目标,采用时间压力模型对脑力负荷进行建模,并考虑了操作者经验因素的影响.应用自适应惯性权重粒子群算法求解该模型,并通过实例验证了该模型可为自治装配单元的生产运作提供优化分析决策.

According to the mental workload was too high,which led to low quality of the products and the mental workload was too low lead to the problem of low production efficiency,performance of autonomous assembly unit optimization model was studied.By considering the influence of operator experience,time pressure model to mental workload was established for quality and efficiency of production units trying to take the best performance as the target.Adaptive weight particle swarm optimization algorithm was applied to solve the model and the example of a practical problem was applied to verify the model which can provide the optimal analysis and decision for the production and operation of the autonomous assembly unit.