A Bin Packing Algorithm for Steel Production

Alessandro Maddaloni, Valentina Colla, Gianluca Nastasi, Marco Del Seppia, Vincenzo Iannino

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

Abstract

The paper presents a novel method for steel cutting optimization, which is performed by means of a two dimensional bin packing algorithm, with bins of different sizes. Our model extends previous mixed integer programs for bin packing, accounting for many of the issues arising in the steel manufacturing industry. In particular the proposed method can satisfy customer requirements on product quality. The developed algorithm can also deal with parameters variability occurring after the rolling processes. The final problem is formulated as a mixed integer non linear program (MINLP). This model directly applies to steel cutting, but it can be easily adapted in all of its parts, or just some of them, to other (industrial) rectangular cutting problems on different surfaces.

Original languageEnglish
Title of host publicationProceedings - UKSim-AMSS 2016
Subtitle of host publication10th European Modelling Symposium on Computer Modelling and Simulation
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages19-24
Number of pages6
ISBN (Electronic)9781509049707
DOIs
Publication statusPublished - 4 May 2017
Externally publishedYes
Event10th European Modelling Symposium on Computer Modelling and Simulation, UKSim-AMSS 2016 - Pisa, Italy
Duration: 28 Nov 201630 Nov 2016

Publication series

NameProceedings - UKSim-AMSS 2016: 10th European Modelling Symposium on Computer Modelling and Simulation

Conference

Conference10th European Modelling Symposium on Computer Modelling and Simulation, UKSim-AMSS 2016
Country/TerritoryItaly
CityPisa
Period28/11/1630/11/16

Keywords

  • 2d bin packing
  • cutting stock
  • product quality management
  • steel cutting
  • surface quality

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