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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 Tang
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 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

Published in

International Journal of Production Research

Publisher

Taylor & Francis

Version

AM (Accepted Manuscript)

Publisher statement

This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on [date of publication], available online: http://www.tandfonline.com/10.1080/00207543.2022.2043566.

Acceptance date

07/09/2021

ISSN

0020-7543

eISSN

1366-588X

Language

en

Depositor

Prof Jiyin Liu. Deposit date: 20 February 2022

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