Dynamic Portfolio Selection of NPD Programs Using Marginal Returns
Management Science
Software project management with GAs
Information Sciences: an International Journal
Employee positioning and workload allocation
Computers and Operations Research
Lower bounds for the multi-skill project scheduling problem with hierarchical levels of skills
PATAT'04 Proceedings of the 5th international conference on Practice and Theory of Automated Timetabling
A VNS algorithm for noisy problems and its application to project portfolio analysis
SAGA'07 Proceedings of the 4th international conference on Stochastic Algorithms: foundations and applications
Large scale portfolio selection with synergies
Journal of Computer and Systems Sciences International
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A model for optimizing investments of human resources over time into a given set of project classes with known competence requirements and known returns is presented. The model considers increments of competencies by learning as well as decrements by knowledge depreciation. We derive analytical results addressing questions such as whether an optimal policy will specialize on a single project class or rather keep a mixed project portfolio. In absence of uncertainty, gradual specialization turns out as advisable, but mixed portfolios in the intermediate term can be better than instantaneous specialization. Algorithms for optimizing the project portfolio selection are outlined.