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

Jian-ping Yang , Qing Liu , Wei-da Guo , Jun-guo Zhang

International Journal of Minerals, Metallurgy, and Materials ›› 2021, Vol. 28 ›› Issue (8) : 1353 -1366.

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International Journal of Minerals, Metallurgy, and Materials ›› 2021, Vol. 28 ›› Issue (8) : 1353 -1366. DOI: 10.1007/s12613-020-2227-5
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Quantitative evaluation of multi-process collaborative operation in steelmaking-continuous casting sections

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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 sections (SCCSs). However, this evaluation is difficult since it relies on an in-depth understanding of the operating mechanism of SCCSs, and few existing methods can be used to conduct the evaluation, due to the lack of full-scale consideration of the multiple factors related to the production operation. In this study, three quantitative models were developed, and the multiprocess collaborative operation level was evaluated through the laminar-flow operation degree, the process matching degree, and the scheduling strategy availability degree. Based on the evaluation models for the laminar-flow operation and process matching levels, this study investigated the production status of two steelmaking plants, plants A and B, based on actual production data. The average laminar-flow operation (process matching) degrees of SCCSs were obtained as 0.638 (0.610) and 1.000 (0.759) for plants A and B, respectively, for the period of April to July 2019. Then, a scheduling strategy based on the optimization of the furnace-caster coordinating mode was suggested for plant A. Simulation experiments showed higher availability than the greedy-based and manual strategies. After the proposed scheduling strategy was applied, the average process matching degree of the SCCS of plant A increased by 4.6% for the period of September to November 2019. The multi-process collaborative operation level was improved with fewer adjustments and interruptions in casting.

Keywords

steelmaking-continuous casting / multi-process collaborative operation / quantitative evaluation model / laminar-flow operation / process matching / scheduling strategy

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Jian-ping Yang, Qing Liu, Wei-da Guo, Jun-guo Zhang. Quantitative evaluation of multi-process collaborative operation in steelmaking-continuous casting sections. International Journal of Minerals, Metallurgy, and Materials, 2021, 28(8): 1353-1366 DOI:10.1007/s12613-020-2227-5

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