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dc.contributor.authorLeyman, Pieter
dc.contributor.authorVanhoucke, Mario
dc.date.accessioned2017-12-02T15:00:25Z
dc.date.available2017-12-02T15:00:25Z
dc.date.issued2017
dc.identifier.doi10.1016/j.ejor.2016.07.019
dc.identifier.urihttp://hdl.handle.net/20.500.12127/5708
dc.description.abstractIn this paper, we study the capital-constrained project scheduling problem with discounted cash flows (CCPSPDC) and the capital- and resource-constrained project scheduling problem with discounted cash flows (CRCPSPDC). The objective of both problems is to maximize the project net present value (NPV), based on three cash flow models. Both problems include capital constraints, which force the project to always have a positive cash balance. Hence, it is crucial to schedule activities in such an order that sufficient capital is available.The contribution of this paper is threefold. First, we propose three distinct cash flow models, which affect the capital availability during the project. Second, we introduce two new schedulers to improve capital feasibility, one for the CCPSPDC and one for the CRCPSPDC. The schedulers focus on delaying sets of activities, which cause cash outflows to be received at later time instances, in order to reduce capital shortages. Both schedulers are implemented as part of three metaheuristics from literature, in order to compare the metaheuristics' performance. Two penalty functions have been included, one to improve capital feasibility and another to improve deadline feasibility. Third, the proposed procedure has been tested on a large dataset and the added value of the schedulers has been validated. Managerial insights are provided with respect to the impact of key parameters.
dc.language.isoen
dc.subjectNet Present Value
dc.subjectCapital
dc.subjectProject Scheduling
dc.subjectMetaheuristics
dc.titleCapital- and resource-constrained project scheduling with net present value optimization
dc.identifier.journalEuropean Journal of Operational Research
dc.source.volume256
dc.source.issue3
dc.source.beginpage757
dc.source.endpage776
vlerick.knowledgedomainOperations & Supply Chain Management
vlerick.typearticleVlerick strategic journal article
vlerick.vlerickdepartmentTOM
dc.identifier.vperid182241
dc.identifier.vperid58614
dc.identifier.vpubid7014


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