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dc.contributor.authorMoreno Camacho, Carlos Alberto
dc.contributor.authorMontoya Torres, Jairo Rafael
dc.contributor.authorVélez Gallego, Mario C.
dc.date.accessioned08/29/2019 8:52
dc.date.available08/29/2019 8:52
dc.date.issued2018
dc.identifier.citationCarlos A. Moreno-Camacho, Jairo R. Montoya-Torres & Mario C. VélezGallego (2018) A comparison of mixed-integer linear programming models for workforce scheduling with position-dependent processing times, Engineering Optimization, 50:6, 917-932, DOI: 10.1080/0305215X.2017.1358362es_CO
dc.identifier.issn0305-215X
dc.identifier.otherhttps://www.tandfonline.com/doi/full/10.1080/0305215X.2017.1358362
dc.identifier.urihttp://hdl.handle.net/10818/36936
dc.description17 páginases_CO
dc.description.abstractOnly a few studies in the available scientific literature address the problem of having a group of workers that do not share identical levels of productivity during the planning horizon. This study considers a workforce scheduling problem in which the actual processing time is a function of the scheduling sequence to represent the decline in workers’ performance, evaluating two classical performance measures separately: makespan and maximum tardiness. Several mathematical models are compared with each other to highlight the advantages of each approach. The mathematical models are tested with randomly generated instances available from a public e-library.en
dc.formatapplication/pdfes_CO
dc.language.isoenges_CO
dc.publisherJournal Engineering Optimizationes_CO
dc.relation.ispartofseriesJournal Engineering Optimization Volume 50, 2018 - Issue 6
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.otherSchedulingen
dc.subject.otherParallel machinesen
dc.subject.otherDeteriorating jobsen
dc.subject.otherMakespanen
dc.subject.otherTardinessen
dc.titleA comparison of mixed-integer linear programming models for workforce scheduling with position-dependent processing timesen
dc.typejournal articlees_CO
dc.type.hasVersionpublishedVersiones_CO
dc.rights.accessRightsopenAccesses_CO
dc.identifier.doi10.1080/0305215X.2017.1358362


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