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加热炉的作业效率直接影响企业的最终效益.由于加热炉的复杂性,其作业计划仍然处于手动操作状态.针对加热炉这样一个复杂工业过程,提出一个优化作业计划与调度的编排方法,用于加热炉在正常和异常生产的优化排产.利用最短时间和最早缴期算法进行加热炉正常作业排序.采用蚁群算法搜索异常情况下的最优解,通过跟踪形成作业计划闭环控制,从而实现加热炉作业优化的实时控制.该方法在某钢铁公司进行了实际应用,效果良好.
The operation efficiency of the heating furnace has a direct impact on the ultimate benefit of the enterprise, and due to the complexity of the heating furnace, the operation plan is still in the manual operation state.Aiming at the complicated industrial process such as the heating furnace, a scheduling method for optimizing the operation planning and scheduling is proposed Heating furnace in the normal and abnormal production of the optimal scheduling. The use of the shortest time and the earliest due date algorithm for normal operation of the furnace sort.Using ant colony algorithm to search for the optimal solution in abnormal circumstances, through tracking to form a closed loop control of the job plan, so as to achieve Real-time control of furnace operation optimization This method has been practically applied in a steel company and works well.