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dc.contributor.authorKaragoz, Aysenur
dc.contributor.authorLiu, Ruofeng
dc.contributor.authorValidi, Hamidreza
dc.date.accessioned2025-05-15T20:45:05Z
dc.date.available2025-05-15T20:45:05Z
dc.date.issued2024-12-28
dc.identifier.urihttps://hdl.handle.net/1721.1/159280
dc.description.abstractLiver transplantation has been a critical issue in the U.S. healthcare system for decades, and the region redesign aims to ameliorate this issue. This paper revisits two mixed integer programming (MIP) formulations of the liver region redesign problem proposed by Akshat et al. [1]. We study their first formulation considering two different modeling approaches: one compact formulation and one with exponentially many constraints. We also propose a set of variable fixing procedures and conduct a polyhedral study on their second formulation. Our computational results show that multiple unsolved instances are solved to optimality.en_US
dc.publisherSpringer Berlin Heidelbergen_US
dc.relation.isversionofhttps://doi.org/10.1007/s11590-024-02179-wen_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceSpringer Berlin Heidelbergen_US
dc.titleStrengthened MIP formulations for the liver region redesign models of Akshat et al.en_US
dc.typeArticleen_US
dc.identifier.citationKaragoz, A., Liu, R. & Validi, H. Strengthened MIP formulations for the liver region redesign models of Akshat et al.. Optim Lett 19, 505–525 (2025).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Operations Research Centeren_US
dc.relation.journalOptimization Lettersen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2025-03-27T13:49:13Z
dc.language.rfc3066en
dc.rights.holderThe Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature
dspace.embargo.termsY
dspace.date.submission2025-03-27T13:49:13Z
mit.journal.volume19en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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