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dc.contributor.authorLeyman, Pieter
dc.contributor.authorVanhoucke, Mario
dc.date.accessioned2017-12-02T14:53:50Z
dc.date.available2017-12-02T14:53:50Z
dc.date.issued2016
dc.identifier.doi10.1016/j.cie.2015.11.008
dc.identifier.urihttp://hdl.handle.net/20.500.12127/5494
dc.description.abstractThis manuscript focuses on the single- and multi-mode resource-constrained project scheduling problem with discounted cash flows (RCPSPDC and MRCPSPDC) and three payment models. The contribution of the paper is twofold. First, we extend a new scheduling technique, which moves activities in order to improve the project net present value. This more general version is applicable to multiple problem formulations and provides an overarching framework in which these models can be implemented. The changes in activity finish times take other activities and the possible changes in the finish times of these other activities into account, by forming a set of activities which is subsequently moved in time. The scheduling technique is implemented within a genetic algorithm metaheuristic and employs two penalty functions, one for deadline feasibility and one for non-renewable resource feasibility. Second, we test the proposed approach on several datasets from literature and illustrate the added value of each part of the algorithm. The influence of data parameters on the project net present value is highlighted. The detailed results provided in this paper can be used as future benchmarks for each of the six models discussed.
dc.language.isoen
dc.subjectNet Present Value
dc.subjectPayment Models
dc.subjectResource-constrained Project Scheduling
dc.subjectMetaheuristics
dc.titlePayment models and net present value optimization for resourceconstrained project scheduling
dc.identifier.journalComputers and Industrial Engineering
dc.source.volume91
dc.source.issueJanuary
dc.source.beginpage139
dc.source.endpage153
vlerick.knowledgedomainOperations & Supply Chain Management
vlerick.typearticleJournal article with impact factor
vlerick.vlerickdepartmentTOM
dc.identifier.vperid182241
dc.identifier.vperid58614
dc.identifier.vpubid6775


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