考虑不确定生产因素的表面组装生产线负载平衡优化模型

针对表面组装生产中的不确定因素造成企业订单完成时间滞后问题,本文设计并实现了一种考虑不确定生产因素的生产线负载平衡优化模型.首先,以不确定生产因素的历史样本数据作为随机模拟样本预估出不确定生产因素对订单完成造成的滞后时间;其次,优化元器件贴装工位分配方案并以任务完成作为触发事件模拟生产线实际运行得到动态生产计划;再次,根据动态生产计划计算出模型适应度值后,采用遗传算法对模型适应度值进行启发式寻优获得最优动态生产方案.最后,利用表面组装生产线试例对该模型进行验证,结果表明,该模型可准确预测产线各时段的生产任务、任务量及各器件贴装工位,有效提高了企业生产效率.

Load balance optimization model of surface-mount production line considering uncertain production factors

Aiming at the problem that uncertain production factors cause a lag in order fulfillment for surface-mountmanufacturers, a load balance optimization model of production line considering uncertain production factors is designed.First, the historical sample data of uncertain production factors are used as a random simulation sample to predict thelag time of order completion caused by uncertain production factors. Second, after optimizing the component placementworkstation allocation scheme, the task completion is used as the trigger event to simulate the actual operation of theproduction line to obtain a dynamic production plan. Third, after calculating the model fitness value according to thedynamic production plan, the genetic algorithm is used to heuristically optimize the model fitness value to obtain theoptimal dynamic production plan. Finally, the model is validated by using a surface-mount production line test case. Theresult shows that the model can accurately predict the production tasks, task volume and placement stations of componentsin each period of the production line and can effectively improve the production efficiency of enterprises.