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dc.contributor.authorMartens, Annelies
dc.contributor.authorVanhoucke, Mario
dc.date.accessioned2017-12-02T15:00:41Z
dc.date.available2017-12-02T15:00:41Z
dc.date.issued2017
dc.identifier.doi10.1016/j.cie.2017.05.020
dc.identifier.urihttp://hdl.handle.net/20.500.12127/5826
dc.description.abstractThe timely completion of a project is one of its main factors for success. During the scheduling phase, a project buffer can be installed to protect the project deadline. During the execution phase, tolerance limits that generate warning signals when the project deadline is endangered should be constructed to monitor the buffer consumption. These tolerance limits will be constructed for the dynamic progress data provided by the Earned Value Management/Earned schedule methodology (EVM/ES). In this paper, we incorporate information on the availability of scarce resources into the construction of analytical tolerance limits for EVM/ES, in order to improve the efficiency and reliability of these tolerance limits. In order to review the performance of the limits, a computational experiment has been carried out in which they are compared to analytical tolerance limits that disregard the availability of resources. Results have shown that the performance of analytical tolerance limits can be significantly enhanced by incorporating the available resource information.
dc.language.isoen
dc.subjectOperations & Supply Chain Management
dc.subjectMathematical Models
dc.subjectMathematical Models of Scheduling
dc.subjectDeadlines
dc.subjectScarcity
dc.subjectProject Management
dc.subjectTolerance Intervals (Statistics)
dc.titleThe integration of constrained resources into top-down project control
dc.identifier.journalComputers & Industrial Engineering
dc.source.volume110
dc.source.issueAug
dc.source.beginpage277
dc.source.endpage288
vlerick.knowledgedomainOperations & Supply Chain Management
vlerick.supervisor
vlerick.typearticleArticle in academic journal
vlerick.vlerickdepartmentTOM
dc.identifier.vperid203104
dc.identifier.vperid58614
dc.identifier.vpubid7140


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