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dc.contributor.authorYuraszeck F.
dc.contributor.authorMejía G.
dc.contributor.authorLüer-Villagra A.
dc.date.accessioned2024-11-12T13:42:45Z
dc.date.available2024-11-12T13:42:45Z
dc.date.issued2024
dc.identifier.issn9696016
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85197714631&doi=10.1111%2fitor.13504&partnerID=40&md5=b956aee5e7f0dbe179faa63e67ca41c4
dc.identifier.urihttp://hdl.handle.net/10818/62722
dc.description.abstractIn this paper, we study the group shop and the mixed shop scheduling problems with single and identical parallel machines at each workstation with the makespan criterion. We adapted a constraint programming formulation previously presented for the classical resource-constrained project scheduling problem. The effectiveness of our approach is evident in the fact that it achieved optimality in 107 out of 130 classical group shop scheduling problem instances and in 320 classical mixed shop scheduling problem instances. In the last set, we obtained 13 new optimal solutions. © 2024 International Federation of Operational Research Societies.en
dc.formatapplication/pdfes_CO
dc.language.isoenges_CO
dc.publisherInternational Transactions in Operational Researches_CO
dc.relation.ispartofseriesInternational Transactions in Operational Research
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceUniversidad de La Sabanaes_CO
dc.sourceIntellectum Repositorio Universidad de La Sabanaes_CO
dc.subject.otherConstraint programmingen
dc.subject.otherGroup shopen
dc.subject.otherJob shopen
dc.subject.otherMixed shopen
dc.subject.otherOpen shopen
dc.subject.otherParallel machinesen
dc.titleAn adapted constraint-programming formulation of the resource-constrained project scheduling problem applied to the identical parallel machines group shop and mixed shop scheduling problemsen
dc.typejournal articlees_CO
dc.type.hasVersionpublishedVersiones_CO
dc.rights.accessRightsopenAccesses_CO
dc.identifier.doi10.1111/itor.13504


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