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Modeling and optimization method of slab destination decision-making problem |
WANG Cheng, ZHENG Zhong, WANG Yong-zhou, ZHANG Kai-tian |
College of Materials Science and Engineering, Chongqing University, Chongqing 400044, China |
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Abstract The connection and coordination of continuous casting-hot rolling interface are of great significance for the efficient and stable operation of the steel manufacturing process. In view of the limitations of the application of the achievements caused by the simplification of the production organization process in the study of the continuous casting-hot rolling interface, an optimization method based on the casting plan and hot rolling unit plan is proposed,which decides on the destination (reheating furnace,soaking pit,slab yard) of the physical slab,and determines the connection mode (direct hot charging,hot charging,cold charging) through the step-by-step matching between the virtual slab and physical slab. In order to maximize the number of direct hot charging slabs and hot charging slabs in the hot rolling unit plan and minimize their transportation time,an integer nonlinear programming model for slab destination decision-making is established by considering constraints such as forced off-line cold charging requirements,equipment buffer capacity limitations,physical slab and virtual slab matching rules,direct hot charging slab and hot charging slab transport time requirements,and necessary transportation time for slab feeding. An improved harmony search algorithm combined with tabu search is designed to solve the model. The integer coding is used to record the destination plan. The decoding is carried out by simulating the process of physical slab feeding and virtual slab matching and charging. The objective function value of the destination plan is counted and the evaluation value is calculated. The local optimization ability of tabu search is used to avoid premature convergence of harmony search,and an improved harmony search algorithm is obtained. The production data of a hot rolled strip production line in an iron and steel enterprise are tested. The results show that the slab destination decision-making model can increase the direct hot charging rate by 10.57%,increase the hot charge rate by 3.58%, and reduce the transportation time of the direct hot charging slab and hot charging slab by 18.84%. Compared with the tabu search and harmony search,the optimal evaluation value of the improved harmony search algorithm can be increased by 6.26% and 4.51% respectively,indicating the effectiveness of the model and algorithm.
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Received: 19 May 2022
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