Production optimization and scheduling in a steel plant: Hot rolling mill

Matteo Biondi*, Sleman Saliba, Iiro Harjunkoski

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

8 Citations (Scopus)

Abstract

In this presentation we investigate the production scheduling of a hot rolling mill in a steel plant. The production schedule must adapt to strict production rules derived from metallurgic and physical constraints. Successful manual planning requires therefore in practice thorough process knowledge and years of operating experience. In our optimization-based approach, we first build parts of the rolling programs using intelligent heuristics and compose these parts to fully feasible programs by solving a min-cost-flow problem. In a second step, the built programs are scheduled using a mixed integer linear programming formulation in order to obtain an optimal schedule that violates as few order due dates as possible. Finally, we describe how to embed the current system within a standard IT environment, connecting the business level to the plant layer.

Original languageEnglish
Title of host publicationProceedings of the 18th IFAC World Congress
Pages11750-11754
Number of pages5
Volume18
EditionPART 1
DOIs
Publication statusPublished - 2011
MoE publication typeA4 Article in a conference publication
EventIFAC World Congress - Milan, Italy
Duration: 28 Aug 20112 Sep 2011
Conference number: 18

Conference

ConferenceIFAC World Congress
Abbreviated titleIFAC
CountryItaly
CityMilan
Period28/08/201102/09/2011

Keywords

  • Heuristics
  • Mathematical programming
  • Optimization
  • Scheduling algorithms
  • Steel industry

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