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炼钢连铸热轧一体化批量计划编制模型及实现
引用本文:刘怡,郑忠,陈开,高小强. 炼钢连铸热轧一体化批量计划编制模型及实现[J]. 重庆大学学报(自然科学版), 2012, 35(3): 60-66
作者姓名:刘怡  郑忠  陈开  高小强
作者单位:1.重庆大学材料科学与工程学院,重庆,400044;2.重庆大学经济与工商管理学院,重庆,400044
基金项目:国家863计划资助项目(2007AA04Z161);国家自然科学基金钢铁联合基金资助项目(50574110)
摘    要:为解决钢铁企业生产计划一体化编制时能保证生产物流在各工序间的协调有序和高效运行,通过分析炼钢连铸热轧带钢各阶段的生产目标和工艺约束、物流变化及衔接关系,建立基于多目标优化的一体化批量计划数学模型。按照热轧带钢生产合同的要求,将一体化批量计划编制问题分解为热轧带钢的轧制单元计划、炼钢连铸的组炉和组浇计划。各计划之间既有独立又存在耦合,先编制完成轧制单元计划与组炉计划,然后再将轧制单元计划与组炉计划共同作用于组浇计划,运用基于改进协同进化的遗传算法设计模型求解策略。以某钢铁企业的带钢生产计划编制数据为例进行模型的仿真运行,测试结果表明了模型的可行性,为钢铁企业的一体化批量计划编制提供了一种有效手段

关 键 词:钢铁企业  生产  批量计划  一体化  进化算法

Modeling and realizing of integrated batch planning for steelmaking-continuous casting and hot strip rolling
LIU Yi,ZHENG Zhong,CHEN Kai and GAO Xiao qiang. Modeling and realizing of integrated batch planning for steelmaking-continuous casting and hot strip rolling[J]. Journal of Chongqing University(Natural Science Edition), 2012, 35(3): 60-66
Authors:LIU Yi  ZHENG Zhong  CHEN Kai  GAO Xiao qiang
Affiliation:College of Materials Science and Engineering,Chongqing University, Chongqing 400044, P.R.China;College of Materials Science and Engineering,Chongqing University, Chongqing 400044, P.R.China;College of Materials Science and Engineering,Chongqing University, Chongqing 400044, P.R.China;College of Economics and Business Administration,Chongqing University, Chongqing 400044, P.R.China
Abstract:An integrated batch planning mathematical model based on multi-object optimization is proposed to solve the orderly and efficient flow of material between different working stations in iron and steel enterprises, where production technology constraints, material variations and coupling between steelmaking-continuous casting and hot rolling are analyzed first. According to the requirements of the hot rolling steel strip contracts, the integrated batch planning is divided into sub-plans of rolling plan, casting plan and furnace plan which are independent and coupling to each other, forming rolling plan and furnace plan simultaneously to influence casting plan. Heuristic method based on modified co-evolutionary algorithm is advanced to resolve this problem. The results of simulation and analysis in an iron and steel plant for strip steel production shows that it is feasible to provide effective guidance for integrated batch plan making.
Keywords:iron and steel plants  prodution  batch planning  integration  evolutionary algorithms
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