MILP for selecting portfolio of R&D projects in public organizations with partial and full resource allocation policies

DOI

10.2991/.2013.29How to use a DOI?

Keywords

Project portfolio selection, R&D projects, mixed integer linear programming

Abstract

In general, the problem of R&D project portfolio selec-tion (RDPPS) is to choose a set of project proposals that optimize certain impact measures designated by the deci-sion maker. In this paper we present a MILP model, that incorporates the most relevant aspects of the problem found in the literature, that supports both full (all or nothing) and partial (a certain amount between a minimum and a maximum value) resource allocation policies to projects. In most of the reviewed papers about RDPPS full allocation resources policies are implemented, a few implement partiall allocation policies, but most of them presents very simple models.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Nancy Maribel Arratia Martínez
AU  - Fernando López Irarragorri
PY  - 2013/10
DA  - 2013/10
TI  - MILP for selecting portfolio of R&D projects in public organizations with partial and full resource allocation policies
BT  - Proceedings of the Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support
PB  - Atlantis Press
SP  - 241
EP  - 246
SN  - 1951-6851
UR  - https://doi.org/10.2991/.2013.29
DO  - 10.2991/.2013.29
ID  - ArratiaMartínez2013/10
ER  -