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Research and development project portfolio selection under uncertainty

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Abstract

The problem of project portfolio selection consists in allocating resources (for instance money) to a set of proposals optimizing certain impact measures [Litvinchev et al. (J Comput Syst Sci Int 50(6):942–952, 2011)]. We develop a model that takes into account the following characteristics: projects tasks; different resources allocation policies; interdependence between tasks and/or projects; portfolio balancing rules; uncertainty in the overall budget; and uncertainty in the amount of resources requested by tasks. Uncertain parameters are represented as fuzzy triangular numbers and fuzzy programming is employed for solving the model with uncertainty. Computational results are presented for medium and large scale instances.

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Acknowledgements

This paper is dedicated to the First EAI International Conference on Computer Science and Engineering, 11–12 November 2016, Golden Sands Resort, Penang, Malaysia. The authors would like to thank anonymous referees for their comments and suggestions. This work was partially supported by CONACYT, Mexico (Project No. 280081).

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Authors and Affiliations

  1. Universidad Autonoma de Nuevo Leon, Av. Pedro de Alba S/N, Cd. Universitaria, 66450, San Nicolas de los Garza, NL, Mexico

    Nancy M. Arratia-Martinez, Igor Litvinchev & Fernando Lopez-Irarragorri

  2. Universidad de Malaga, Campus El Ejido s/n, 29071, Malaga, Spain

    Nancy M. Arratia-Martinez & Rafael Caballero-Fernandez

Authors
  1. Nancy M. Arratia-Martinez
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  2. Rafael Caballero-Fernandez
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  3. Igor Litvinchev
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  4. Fernando Lopez-Irarragorri
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Corresponding author

Correspondence to Nancy M. Arratia-Martinez.

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Arratia-Martinez, N.M., Caballero-Fernandez, R., Litvinchev, I. et al. Research and development project portfolio selection under uncertainty. J Ambient Intell Human Comput 9, 857–866 (2018). https://doi.org/10.1007/s12652-017-0564-7

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  • DOI: https://doi.org/10.1007/s12652-017-0564-7

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