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Research Article

Quantitative evaluation of multi-process collaborative operation in steelmaking-continuous casting section

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  • Received: 18 August 2020Revised: 16 November 2020Accepted: 18 November 2020Available online: 26 November 2020
  • The quantitative evaluation of multi-process collaborative operation is of great significance for the improvement of production planning and scheduling in steelmaking-continuous casting section (SCCS). Meanwhile, this evaluation is indeed difficult since it relies on an in-depth understanding of the operating mechanism of SCCS, and few existing methods can be used to conduct the evaluation due to lacking of full-scale consideration on multi-factor related to production operation. In this study, three quantitative models were developed, and evaluated the multi-process collaborative operation level through the laminar flow operation degree, the process matching degree and the scheduling strategy available degree, respectively. By using the evaluation models for the laminar flow operation and process matching levels, the production status of two steelmaking plants of A and B was investigated based on actual production data. The results indicate the average laminar flow operation (process matching) degrees of SCCS are 0.638 (0.610) and 1.000 (0.759) for Plants A and B in the period from April to July 2019. Then, a scheduling strategy based on the optimization of furnace-caster coordinating mode was suggested for Plant A. Simulation experiments showed its higher availability than the greedy-based and manual ones. After applying it, the average process matching degree of SCCS of Plant A increases by 4.6% in the period from September to November 2019. Its multi-process collaborative operation level has been improved with less adjustments and interrupts in casting.
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Quantitative evaluation of multi-process collaborative operation in steelmaking-continuous casting section

  • Corresponding author:

    Qing Liu    E-mail: qliu@ustb.edu.cn

  • 1. State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing 100083, China
  • 2. Engineering Research Center of MES Technology for Iron & Steel Production, Ministry of Education, Beijing 100083, China
  • 3. Laiwu iron and Steel Group Yinshan Section Steel Co., Ltd., Jinan, Shandong, 271104, China
  • 4. Hesteel Group Tangsteel Company, Tangshan, Hebei, 063000, China

Abstract: The quantitative evaluation of multi-process collaborative operation is of great significance for the improvement of production planning and scheduling in steelmaking-continuous casting section (SCCS). Meanwhile, this evaluation is indeed difficult since it relies on an in-depth understanding of the operating mechanism of SCCS, and few existing methods can be used to conduct the evaluation due to lacking of full-scale consideration on multi-factor related to production operation. In this study, three quantitative models were developed, and evaluated the multi-process collaborative operation level through the laminar flow operation degree, the process matching degree and the scheduling strategy available degree, respectively. By using the evaluation models for the laminar flow operation and process matching levels, the production status of two steelmaking plants of A and B was investigated based on actual production data. The results indicate the average laminar flow operation (process matching) degrees of SCCS are 0.638 (0.610) and 1.000 (0.759) for Plants A and B in the period from April to July 2019. Then, a scheduling strategy based on the optimization of furnace-caster coordinating mode was suggested for Plant A. Simulation experiments showed its higher availability than the greedy-based and manual ones. After applying it, the average process matching degree of SCCS of Plant A increases by 4.6% in the period from September to November 2019. Its multi-process collaborative operation level has been improved with less adjustments and interrupts in casting.

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