Progress of research on steelmaking-continuous casting production scheduling

被引:0
作者
Liu Q. [1 ,5 ]
Liu Q. [1 ,5 ]
Yang J.-P. [1 ]
Zhang J.-S. [1 ]
Gao S. [2 ]
Li Q.-D. [2 ]
Wang B. [3 ]
Wang B.-L. [4 ,5 ]
Li T.-K. [4 ,5 ]
机构
[1] State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing
[2] Laiwu Iron and Steel Group Yinshan Steel Co, Laiwu
[3] State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan
[4] Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing
[5] Engineering Research Center of EMS Technology for Iron and Steel Production, Ministry of Education, Beijing
来源
Gongcheng Kexue Xuebao/Chinese Journal of Engineering | 2020年 / 42卷 / 02期
关键词
Computer scheduling system; Dynamic scheduling; Production mode; Production scheduling system; Static scheduling; Steelmaking-continuous casting;
D O I
10.13374/j.issn2095-9389.2019.04.30.002
中图分类号
学科分类号
摘要
Production scheduling is one of the key technologies in steel manufacturing process. It plays a significant role in reducing the production cost and improving the production efficiency of iron and steel enterprises. In recent years, with the rapid development of intelligent steel-manufacturing technology, production scheduling has attracted increasing attention and become a research hotspot in the field of iron and steel metallurgy. The process of production scheduling in the process of steelmaking-continuous casting was summarized and discussed through reviews of previous researches, and the characteristics and application scopes of various methods were compared and classified. Typical cases of the computer-aided scheduling system in domestic and overseas steelmaking plants were discussed, and the characteristics of each system were studied and analyzed comparatively. On the basis of the previous studies, forward-looking strategies and a methodology of production scheduling were proposed for the future study of steelmaking-continuous casting process. For static scheduling, a new concept "rules + algorithm" was proposed, and a scheduling model construction method based on the production mode optimization of a steel mill was developed for a domestic special-steelmaking plant as a case study. For dynamic scheduling, multi-process collaboration was suggested, and a collaborative control method based on multi-agent was proposed. This method was developed for multi-process control, quality control, and scheduling control of the steelmaking-continuous casting process. An optimized and effective method for modeling and solving is one of the important means to solve the production-scheduling problem, aiming at improving the levels of setting up production plan and the feasibility of production planning. Meanwhile proposed method for modeling and solving can strengthen the on-site real-time control in steel mills and is of great significance to realize stable, orderly, and continuous operation in steelmaking-continuous casting process. © All right reserved.
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页码:144 / 153
页数:9
相关论文
共 54 条
  • [31] Zhang Q., Manier H., Manier M.A., A genetic algorithm with tabu search procedure for flexible job shop scheduling with transportation constraints and bounded processing times, Comput Oper Res, 39, 7, (2012)
  • [32] Kirkpatrick S., Gellatt C.D., Vecchi M.P., Optimisation by simulated annealing, Science, 220, 4598, (1982)
  • [33] Zhao W., Job-shop scheduling based on genetic algorithm and simulated annealing algorithm, Comput Simul, 28, 7, (2011)
  • [34] Shivasankaran N., Kumar P.S., Raja K.V., Hybrid sorting immune simulated annealing algorithm for flexible job shop scheduling, Int J Comput Intell Syst, 8, 3, (2015)
  • [35] Yang Z., Qiu H.L., Luo X.W., Et al., Simulating schedule optimization problem in steelmaking continuous casting process, Int J Simul Model, 14, 4, (2015)
  • [36] Wu Y.L., Zeng J.C., Wei J.H., Et al., Dynamic scheduling algorithm for batch process systems based on hybrid Petri nets, J Xi'an Jiaotong Univ, 36, 2, (2002)
  • [37] Liao S.H., Expert system methodologies and applications-a decade review from 1995 to 2004, Expert Syst Appl, 28, 1, (2005)
  • [38] Sun F.Q., Tang L.X., Zheng B.L., The steelmaking- continuous casting production schedulingbased on expert system, Metall Ind Autom, 6, (1998)
  • [39] Ma C.B., Research on the Simulation Methods of Crane Scheduling in Steel Plants Based on Multi-Agent, (2011)
  • [40] Gu X.J., Zhu Z.Y., Zhang J., Et al., Multi agent ant colony optimization for dynamic scheduling of steelmaking and continuous casting, Sci Technol Eng, 16, 27, (2016)