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Optimal plate design problem in steel production
journal contribution
posted on 21.02.2022, 11:15 by Shengnan Zhao, Ying Meng, Lijie Su, Jiyin LiuJiyin Liu, Lixin TangIn this paper, we address a new optimal plate design problem in steel production, in which slab selection is jointly considered. On the basis of the underlying features, the problem is formulated as a mixed integer nonlinear programming (MINLP) model with generalized disjunctive programming (GDP) constraints. A logic-based outer approximation (L-OA) algorithm is proposed to solve the problem. Specifically, a two-stage heuristic method is designed to initialize the L-OA algorithm. Numerical results are presented to demonstrate that the proposed L-OA algorithm and the heuristic method are effective and computationally efficient.
Funding
Major Program of National Natural Science Foundation of China (71790614)
National Natural Science Foundation of China (72002028)
LiaoNing Revitalization Talents Program (XLYC1801009, XLYCYSZX1903) and the 111 Project (B16009)
History
School
- Business and Economics
Department
- Business