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dc.contributor.authorVan Peteghem, Vincent
dc.contributor.authorVanhoucke, Mario
dc.date.accessioned2017-12-02T14:53:14Z
dc.date.available2017-12-02T14:53:14Z
dc.date.issued2015
dc.identifier.doi10.1016/j.cie.2015.06.007
dc.identifier.urihttp://hdl.handle.net/20.500.12127/5204
dc.description.abstractLearning effects assume that the efficiency of a resource increases with the duration of a task. Although these effects are commonly used in machine scheduling environments, they are rarely used in a project scheduling setting. In this paper, the effect of learning in a project scheduling environment is studied and applied to the discrete time/resource trade-off scheduling problem (DTRTP), where each activity has a fixed work content for which a set of execution modes (duration/resource requirement pairs) can be defined. Computational results emphasize the significant impact of learning effects on the project schedule, measure the margin of error made by ignoring learning and show that timely incorporation of learning effects can lead to significant makespan improvements.
dc.language.isoen
dc.subjectProject Scheduling
dc.subjectLearning
dc.subjectScheduling
dc.titleInfluence of learning in resource-constrained project scheduling
dc.identifier.journalComputers and Industrial Engineering
dc.source.volume87
dc.source.issueSept
dc.source.beginpage569
dc.source.endpage579
vlerick.knowledgedomainOperations & Supply Chain Management
vlerick.typearticleJournal article with impact factor
vlerick.vlerickdepartmentTOM
dc.identifier.vperid92684
dc.identifier.vperid58614
dc.identifier.vpubid6453


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