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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。
Taking into account the uncertainty of the social steel scrap recycled by the steel enterprises, based on the preset buffering time of the refining station and the characteristics of the steel smelting production process, with the objective of improving the passing rate of the furnace and reducing the carbon emission, Scrap steel remanufacturing production scheduling model, and design a suitable genetic algorithm to solve. The case study shows that the main factors influencing carbon emission without refining buffer duration and the relationship between the duration of emptying time and the duration constraints of the refining buffer length are pointed out. Then the two sub-targets are integrated through the efficiency coefficient method to analyze the changes of evaluation function values under different constraints , And puts emphasis on the near-optimal production scheduling plan with three types of construction period constraints. The results verify the effectiveness of the algorithm.