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On the summary measures for the resource-constrained project scheduling problem

datacite.subject.sdg09:Indústria, Inovação e Infraestruturaspt_PT
datacite.subject.sdg12:Produção e Consumo Sustentáveispt_PT
dc.contributor.authorVan Eynde, Rob
dc.contributor.authorVanhoucke, Mario
dc.contributor.authorCoelho, José
dc.date.accessioned2024-10-25T08:58:30Z
dc.date.available2024-10-25T08:58:30Z
dc.date.issued2023-07-03
dc.description.abstractThe resource-constrained project scheduling problem is a widely studied problem in the literature. The goal is to construct a schedule for a set of activities, such that precedence and resource constraints are respected and that an objective function is optimized. In project scheduling literature, summary measures are often used as a tool to evaluate the performance of algorithms and to analyze instances and datasets. They can be classified in two groups, network measures describe the precedence constraints of a project, while resource measures focus on the resource constraints of the instance. In this manuscript we make an exhaustive evaluation of the summary measures for project scheduling. We provide an overview of the most prevalent measures and also introduce some new ones. For our tests we combine different datasets from the literature and generate a new set with diverse characteristics. We evaluate the performance of the summary measures on three dimensions: consistency, instance complexity and algorithm selection. We conclude by providing an overview of which measures are best suited for each of the three investigated dimensions.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/s10479-023-05470-8pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.2/16682
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.subjectProject schedulingpt_PT
dc.subjectSummary measurespt_PT
dc.subjectDatasetspt_PT
dc.subjectInstance complexitypt_PT
dc.titleOn the summary measures for the resource-constrained project scheduling problempt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage625pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage593pt_PT
oaire.citation.titleAnnals of Operations Researchpt_PT
oaire.citation.volume337pt_PT
person.familyNameVanhoucke
person.familyNameCoelho
person.givenNameMario
person.givenNameJosé
person.identifierR-000-8V7
person.identifier.ciencia-id7D18-9842-159F
person.identifier.orcid0000-0001-6702-3563
person.identifier.orcid0000-0002-5855-284X
person.identifier.ridD-8647-2015
person.identifier.scopus-author-id6507772652
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication129fc49c-d742-406a-b680-f5544f8da0e2
relation.isAuthorOfPublication2926ed15-fe04-4ee4-a40d-ad0a83e33af8
relation.isAuthorOfPublication.latestForDiscovery129fc49c-d742-406a-b680-f5544f8da0e2

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