Modelling choices for the Roadef 2022 challenge

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dc.contributor.authorSimonis, Helmuten
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2024-09-19T13:42:28Z
dc.date.available2024-09-19T13:42:28Z
dc.date.issued2024-09-02en
dc.description.abstractThis paper describes our approach to modelling and solving the Roadef 2022 Challenge, a trans portation planning problem introduced by Renault. We describe a high-level decomposition of the problem, and the models for different stages, focussing on a MIP main problem which decides when in time stacks of items should be transported. We present a lower bound on the number of trucks required to deliver all stacks in time, and show how the lower bounds on individual placement problems can be incorporated as cuts in the main MIP model.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationBalogh, A., Dev Gupta, S., Argiro, J., Restrepo, L., O’Sullivan, B., Simonis, H. and Souza, F. (2024) ‘Modelling Choices for the Roadef 2022 Challenge’, ModRef 2024, The 23rd workshop on Constraint Modelling and Reformulation, Part of CP 2024, 2-6 Sept, Girona, Catalonia.en
dc.identifier.endpage17en
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/16408
dc.language.isoenen
dc.publisherAssociation for Constraint Programmingen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en
dc.relation.urihttps://modref.github.io/ModRef2024en
dc.rights© 2024 theAuthors. This publication has emanated from research conducted with the financial support of Science Foundation Ireland under Grant number 12/RC/2289-P2 at Insight the SFI Research Centre for Data Analytics at UCC, which is co-funded under the European Regional Development Fund. For the purpose of Open Access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectTransportationen
dc.subjectSchedulingen
dc.subjectLogisticsen
dc.subjectTruck Loadingen
dc.subjectApplied computingen
dc.subjectIndustry and manufacturingen
dc.titleModelling choices for the Roadef 2022 challengeen
dc.typeConference itemen
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