东北大学学报(自然科学版) ›› 2008, Vol. 29 ›› Issue (11): 1548-1551.DOI: -

• 论著 • 上一篇    下一篇

冶铸轧一体化生产合同计划优化问题研究

於春月;许美蓉;曲蓉霞;   

  1. 东北大学教育部暨辽宁省流程工业综合自动化重点实验室;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2008-11-15 发布日期:2013-06-22
  • 通讯作者: Yu, C.-Y.
  • 作者简介:-
  • 基金资助:
    解放军总装备部武器预研基金资助项目(9140A18010106LN0101);;

On the production order planning of integrated steel production SM-CC-HR-FF

Yu, Chun-Yue (1); Xu, Mei-Rong (1); Qu, Rong-Xia (1)   

  1. (1) Key Laboratory of Integrated Automation of Process Industry, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2008-11-15 Published:2013-06-22
  • Contact: Yu, C.-Y.
  • About author:-
  • Supported by:
    -

摘要: 将炼钢—连铸—热轧—精整一体化生产过程,抽象为炼钢与热轧两大加工阶段,以板坯热装比最大、交货提前/拖期率和组炉余材率最小为优化目标,综合考虑炼钢与热轧的产能,以及钢种、板坯和成品规格等约束条件,建立生产合同计划数学优化模型,并采用双层染色体遗传算法进行求解.在合同计划层次上,解决了一体化生产过程中,连铸与热轧工序之间在钢种和规格上的匹配问题.获得的合同计划,是冶铸轧一体化生产的批量计划和静态调度优化问题的合理的生产定单池.仿真实例证明了模型的合理性与算法的有效性.

关键词: 钢铁一体化生产, 合同计划, 热装比, 遗传算法, 双层染色体

Abstract: A production order planning optimization model is developed for the integrated steelmaking-continuous casting-hot rolling-final finish (SM-CC-HR-FF) process in a steel plant, where the steelmaking and hot rolling are regarded as the key steps. The objectives are to maximize the hot charging proportion of slabs and minimize the early/delayed delivery time and the slabs which are surplus to the requirements for hot/rolling. The main constraints including steelmaking and hot rolling capacities, steel grade and slab and product dimensions are all taken into consideration in the model. A two-level chromosomes genetic algorithm is designed to solve the model. At the order planning level, the problem how to match the steel grade and dimensions during continuous casting with those during hot rolling in the integrated process of steel production is solved. Then, the order plan thus obtained becomes the reasonable production order pool by which both the batch planning and static scheduling of integrated steel production are available. A simulation example shows the reasonability of the model and validity of the algorithm.

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