钢铁企业供应链批量计划研究

发布时间：2018-04-17 00:07

本文选题：钢铁供应链 + 批量计划　；参考：《东北大学》2013年硕士论文

【摘要】：随着钢铁企业生产管理一体化进程的推进,生产管理的核心逐渐从单工序、单机组的优化排产向全流程、多机组集成优化排产转变。炼钢阶段的生产计划是整个钢铁企业面向订单生产组织方式的源头,并且炼钢阶段各机组大都采用批生产模式。因此,在考虑钢铁全流程生产约束条件的基础上,以供应链的视角研究炼钢阶段的批量计划问题对提升钢铁企业的生产运作管理水平具有重要的实际和理论意义。本文主要研究内容如下：(1)分析了钢铁供应链批量计划问题的新特征,包括：(a)多机组：考虑多个炼钢厂,多台连铸机之间的均衡及炼钢和热轧间制程优化；(b)多阶段：考虑炼钢阶段的批量计划对热轧和冷轧阶段生产组织的影响；(c)多时段：考虑较长计划周期内的炼钢批量计划对客户需求和库存波动的影响。针对上述特征及炼钢和连铸工序自身的批处理特征,以合同每天在每台连铸上生产量,合同到炉次的组批关系,炉次到浇次的组批关系为决策变量,建立了该问题的混合整数规划模型,目标考虑了组批带来的附加生产成本外还考虑了炼钢-连铸下游工序的均衡生产。(2)在对数学模型的特点和难点进行了详细分析的基础上,提出了求解问题的差分进化算法,针对问题特性定制化设计了算法的各要素包括编码、解码、交叉、变异和适应值计算,并提出改进策略。以钢铁企业实际生产数据对算法进行了性能测试,通过和模拟人工计划方法实验结果比较,验证了所设计的差分进化算法的实用性和有效性。(3)以上述模型和算法为核心,设计并开发了钢铁企业供应链批量计划决策支持系统,主要包括数据管理、模型求解器、结果编辑等功能。此外,以课题组前期研究的模型和算法为核心,开发了热轧板坯库倒垛优化决策支持系统,主要包括参数配置、指令图形显示、结果分析等功能。上述两个系统都通过实际数据得到了初步应用验证。
[Abstract]:With the development of the integration of production and management in iron and steel enterprises, the core of production management has gradually changed from single process, single machine group optimization to the whole process and multi-unit integration optimization.The production plan of steelmaking stage is the source of the order-oriented production organization mode of the whole steel enterprise, and most of the units in the steelmaking stage adopt the batch production mode.Therefore, on the basis of considering the constraints of the whole process of iron and steel production, it is of great practical and theoretical significance to study the batch planning problem in the steelmaking stage from the perspective of supply chain in order to improve the production and operation management level of iron and steel enterprises.The main contents of this paper are as follows: (1) analyzing the new characteristics of the batch planning problem in the iron and steel supply chain, including: (1) multi-unit: considering several steelmaking plants,Balance between multiple continuous casters and process optimization between steelmaking and hot rolling (multistage): considering the influence of batch planning in steelmaking stage on the production structure of hot and cold rolling stage: considering the steelmaking batch in a longer planning periodThe impact of volume planning on customer demand and inventory fluctuations.In view of the above characteristics and the batch processing characteristics of steelmaking and continuous casting process itself, the decision variables are the quantity of production per continuous casting per day, the group batch relationship between contract and furnace, and the group batch relationship between furnace and pouring order.A mixed integer programming model for this problem is established. Besides the additional production cost brought by the batch, the objective also takes into account the balanced production of the downstream process of steelmaking and continuous casting. (2) based on the detailed analysis of the characteristics and difficulties of the mathematical model,A differential evolutionary algorithm is proposed to solve the problem. The key elements of the algorithm include coding, decoding, crossover, mutation and fitness calculation according to the characteristics of the problem, and an improved strategy is proposed.Based on the actual production data of iron and steel enterprises, the performance of the algorithm is tested. By comparing with the experimental results of simulated artificial planning method, the practicability and effectiveness of the proposed differential evolution algorithm are verified.The supply chain batch planning decision support system for iron and steel enterprises is designed and developed, which includes data management, model solver, result editing and so on.In addition, based on the model and algorithm previously studied by the research group, a decision support system for the optimization of stacking of hot rolled slabs is developed, which mainly includes the functions of parameter configuration, instruction graph display, result analysis and so on.The two systems are verified by practical data.
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F426.31;F274

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