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- W4281386128 abstract "Pressures from the market and environment have put forward higher demands to the steel industry, which drive the need to achieve a deeper integration between physical production factory and cyber information system. In this study, a digital twin (DT) platform for hot-rolling production is built based on the whole-process data acquisition, data-driven process modeling, multi-flow coupling modeling and integrated planning and optimization technologies. Surrounding the DT platform, the integrated planning and production scheduling framework for the medium plate plant is introduced. The slab design problem of medium plates is analyzed in detail and solved by Python with an actual production dataset. The developed DT platform has been implemented in a large steel plant, and experimental results show the effectiveness of the proposed model." @default.
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- W4281386128 date "2022-05-04" @default.
- W4281386128 modified "2023-10-02" @default.
- W4281386128 title "Digital Twin-Enabled Production Optimization for Steel Industry" @default.
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- W4281386128 doi "https://doi.org/10.1109/cscwd54268.2022.9776025" @default.
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