PlateDesignManuscript-20211209-v3.pdf (555.94 kB)
Optimal plate design problem in steel production
journal contribution
posted on 2022-02-21, 11:15 authored 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
Higher Education Discipline Innovation Project [grant number B16009]
National Natural Science Foundation of China [grant number 72192830, 72192831, 72002028]
History
School
- Business and Economics
Department
- Business
Published in
International Journal of Production ResearchVolume
61Issue
5Pages
1575-1590Publisher
Taylor & FrancisVersion
- AM (Accepted Manuscript)
Rights holder
© Taylor & FrancisPublisher statement
This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 14 Jun 2022, available online: http://www.tandfonline.com/10.1080/00207543.2022.2043566.Acceptance date
2021-09-07Publication date
2022-06-14Copyright date
2022ISSN
0020-7543eISSN
1366-588XPublisher version
Language
- en
Depositor
Prof Jiyin Liu. Deposit date: 20 February 2022Usage metrics
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