期刊文献+

转炉炼钢生产模式分析及对应调度模型建立 被引量:3

Analysis on Production Mode and Schedule Model Design of LD Steel-making
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摘要 各钢厂转炉炼钢生产流程差别很大。针对几种较简单的模式 ,生产调度计算机系统可用确定数学模型来解决问题 ,给出了这些模型的公式 :由现有的简单模型解决方法可扩展到较为复杂的情况 ,给出了几种此类实例。人工智能寻优也可用来解决调度生产问题。同时探讨了确定模型和寻优算法的局限性和几种改进方向。 The flow routes of converter steelmaking are extremely diversified for different steelmaking Plants. The decided math model can be uesd to solve the problem of the computer system for steelmaking scheduling in several simple mode and the formula of those mode are given here as well; those math methods for the simple models can be extended to more complicate system as shown here in certain examples. Optimization by artificial inteligence is another way which can be taken to tackle the problems in production scheduling. In the meanwhile the limitations of the decided math models and math methods for optimization as well as several alternatives to improve them are also dealt with.
机构地区 钢铁研究总院
出处 《炼钢》 CAS 北大核心 2003年第5期57-61,共5页 Steelmaking
关键词 转炉炼钢 生产调度 数学模型 人工智能 计算机系统 生产模式 LD steelmaking production scheduling math model artificial intelligence
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参考文献1

  • 1Kuo Ching Lin, Ming Jhy Fang, Yi Lin Tien, et al. The Dynamic Producing Scheduling System of g 2 Steel Making Plant.Technology & Trainning, 2000, 25(5):134--146.

同被引文献18

  • 1俞胜平,郑秉霖,柴天佑.炼钢连铸混合智能调度方法及其应用[J].华东理工大学学报(自然科学版),2006,32(7):844-848. 被引量:9
  • 2Tang L X, Liu J Y, Rong A Y, et al. A review of planning and scheduling systems and methods for integrated steel production[J]. European Journal of Operational Research, 2001, 133(1): 1-20.
  • 3Kumar V, Kumar S, Tiwari M K, et al. Auction-based approach to resolve the scheduling problem in the steel making process[J]. International Journal of Production Research, 2006, 44(8): 1503-1522.
  • 4Tang L X, Luh P B, Liu d Y, et al. Steel-making process scheduling using Lagrangian relaxation[J].International Journal of Production Research, 2002, 40(1): 55-70.
  • 5Tang L X, Xuan H, Liu J Y. A new Lagrangian relaxation algorithm for hybrid flowshop scheduling to mininfizc total weighted completion time[J]. Computers and Operations Research, 2006, 33(11): 2718--2733.
  • 6Harjunkoski I, Grossmann I E. A decomposition approach for the scheduling of a steel plant production[J]. Computers and Chemical Engineering, 2001, 25 (11/12) : 1647-1660.
  • 7Pacciarelli D, Pranzo M. Production scheduling in a steelmaking-continuous casting plant[J]. Computers and Chemical Engineering, 2004, 28(12): 2832-2835.
  • 8Mohanty P P. An agent-oriented approach to resolve the production planning complexities for a modern steel manufacturing system[J]. International Journal Advance Manufacturing Technology, 2004, 24(3/4): 199-205.
  • 9Cowling P I, Ouel H D, Petrovic S. A nmlti-agent architecture for dynamic scheduling of steel hot rolling[J]. Journal of Intelligent Manufacturing, 2003, 14(5): 457-470.
  • 10Ouel H D, Petrovic S, Cowling P I, et al. Inter-agent cooperation and communication for agent-based robust dynamic scheduling in steel production[J]. Advanced Engineering Informatics, 2004, 18(3): 161-172.

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