中文摘要：

考虑到钢企回收的社会性废钢铁成分的不确定性,基于预设缓冲时长的精炼站及钢铁冶炼生产工艺特征,以提高炉次合格率和降低碳排放为目标,在工期约束下建立了废钢铁再制造生产调度模型,并设计合适的遗传算法进行求解。算例分析指出无精炼缓冲时长下影响碳排放的主要因素以及有精炼缓冲时长下空转时长与工期约束的相关关系,继而通过功效系数法整合两个子目标,分析不同工期约束下评价函数值的变化,并重点给出了三类工期约束的近优生产调度计划,结果验证了算法的有效性。

英文摘要：

Considering the uncertainty of the iron and steel scrap＇s components recycled by the steel enterprises, based on the preinstall buffer time at refining station and the steel smelting process characteristics, to increase chargers qualified rate and reduce carbon emission, a new production scheduling model in iron and steel scrap remanufacturing was constructed with date constraints. An appropriate genetic algorithm was proposed to solve this problem. The numerical example indicates that the main factors of affecting carbon emissions with non-refining buffer time,also the correlation between the length of idle time and the constraint of date with refining buffer time. Then through the integration of two objectives by efficiency coefficient method, the evaluation function valuers variation under different date constraints was analyzed and the near-optimal scheduling plans with three different date constraints was listed. Simulation results show the effectiveness of the algorithm.