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Journal of Iron and Steel Research International
Published in: Journal of Iron and Steel Research International 4/2022

23-09-2021 | Original Paper

Genetic optimization of ladle scheduling in empty-ladle operation stage based on temperature drop control

Authors: Yu-jie Hong, Qing Liu, Jian-ping Yang, Jian Wang, Shan Gao, Hong-hui Li

Published in: Journal of Iron and Steel Research International | Issue 4/2022

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Abstract

To optimize ladle scheduling in the empty-ladle operation stage of steel plants, a mathematical scheduling model was established for the empty-ladle operation stage, taking the minimum total waiting time in the empty-ladle operation stage as the optimization goal and setting the equipment assignment uniqueness as the key constraint. An improved genetic algorithm was designed to calculate the mathematical scheduling model. In the operation of the genetic algorithm, the strategy of “ladle temperature drop control” was adopted to solve the problem of equipment conflicts and reduce unreasonable ladle temperature drops to enhance “red-ladle” utilization. Five main production modes operating at 95% capacity in a Chinese steel plant were simulated using the genetic optimization model. The results showed that the genetic optimization model could improve the efficiency of ladle operation and reduce the total waiting time in the empty-ladle operation stage by 868–1147 min.
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Literature
[1]
L.X. Tang, Z.H. Yang, M.G. Wang, Acta Automatica Sin. 24 (1998) 9–14.
[2]
Q. Liu, J.P. Yang, B.L. Wang, Q. Liu, S. Gao, H.H. Li, Chin. J. Eng. 42 (2020) 645–653.
[3]
Q. Liu, Q. Liu, J.P. Yang, J.S Zhang, S. Gao, Q.D. Li, B. Wang, B.L. Wang, T.K. Li, Chin. J. Eng. 42 (2020) 144–153.
[4]
A. Hasanbeigi, L. Price, C.X. Zhang, N. Aden, X.P. Li, F.Q. Shangguan, J. Clean. Prod. 65 (2014) 108–119.CrossRef
[5]
J.P. Yang, B.L. Wang, Q. Liu, M. Guan, T.K. Li, S. Gao, W.D. Guo, Q. Liu, ISIJ Int. 60 (2020) 1213–1224.CrossRef
[6]
J.P. Yang, J.S. Zhang, Q. Liu, Chin. J. Eng. 42 (2020) 1542–1556.
[7]
R.Y. Yin, Acta Metall. Sin. 29 (1993) No. 7, 51–77.
[8]
W. Liu, L.L. Sun, J.L. Ding, T.Y. Chai, 18th IFAC World Congress 44 (2011) 8211–8216.
[9]
X.Y. Wang, W. Liu, B.L. Zheng, T.Y. Chai, J. System Simul. 19 (2007) 2913–2916.
[10]
[11]
Y.Y. Tan, Z. Wei, S. Wang, W. Zhou, S.X. Liu, J. Syst. Eng. 28 (2013) 94–100.
[12]
Y. Xiao, Research on ladle scheduling based on UML and plant simulation in steel plant, Chongqing, China, 2012.
[13]
W. Liu, T.Y. Chai, J. Northeast. Univ. (Nat. Sci.) 39 (2018) 1521–1525, 1531.
[14]
W. Liu, X.F. Pang, T.Y. Chai, Control Engineering of China 26 (2019) 790–798.
[15]
Y. Zhang, A scatter search algorithm for a steelmaking-continuous casting schedule problem with combination of ladle allocation, Shenyang, China, 2018.
[16]
J. Liu, Research on ladle tracking and scheduling in steelworks, Hangzhou, China, 2018.
[17]
[18]
[19]
M. Taherkhani, M. Seifbarghy, R. Tavakkoli-Moghaddam, P. Fattahi, Oper. Res. 20 (2020) 399–425.
[20]
Z.J. Xu, Z. Zheng, X.Q. Gao, Control and Decision 31 (2016) 1394–1400.
[21]
J. Hong, X.H. Li, Y.S. Li, Research on Iron and Steel 1 (2001) No. 3, 22–26.
[22]
Y.Q. Mu, J. Yin, F.M. Xie, B. Wang, B. Wang, C. Wang, Q. Liu, X.C. Lu, L.Q. Zhang, S.H. Bai, J. Univ. Sci. Technol. Beijing 35 (2013) 126–133.
[23]
Y.J. Hong, J.P. Yang, Q. Liu, J.S. Zhang, Q. Liu, J. Iron Steel Res. 33 (2021) 209–216.
Metadata
Title
Genetic optimization of ladle scheduling in empty-ladle operation stage based on temperature drop control
Authors
Yu-jie Hong
Qing Liu
Jian-ping Yang
Jian Wang
Shan Gao
Hong-hui Li
Publication date
23-09-2021
Publisher
Springer Singapore
Published in
Journal of Iron and Steel Research International / Issue 4/2022
Print ISSN: 1006-706X
Electronic ISSN: 2210-3988
DOI
https://doi.org/10.1007/s42243-021-00668-1

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