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Optimal plate design problem in steel production

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  • Shengnan Zhao
  • Ying Meng
  • Lijie Su
  • Jiyin Liu
  • Lixin Tang

Abstract

In 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 initialise 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.

Suggested Citation

  • Shengnan Zhao & Ying Meng & Lijie Su & Jiyin Liu & Lixin Tang, 2023. "Optimal plate design problem in steel production," International Journal of Production Research, Taylor & Francis Journals, vol. 61(5), pages 1575-1590, March.
  • Handle: RePEc:taf:tprsxx:v:61:y:2023:i:5:p:1575-1590
    DOI: 10.1080/00207543.2022.2043566
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