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Optimal plate design problem in steel production

journal contribution
posted on 21.02.2022, 11:15 authored 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

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 Research

Publisher

Taylor & Francis

Version

AM (Accepted Manuscript)

Rights holder

© Taylor & Francis

Publisher 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

07/09/2021

Publication date

2022-06-14

Copyright date

2022

ISSN

0020-7543

eISSN

1366-588X

Language

en

Depositor

Prof Jiyin Liu. Deposit date: 20 February 2022