MILP for selecting portfolio of R&D projects in public organizations with partial and full resource allocation policies
Nancy Maribel Arratia Martínez, Fernando López Irarragorri
Nancy Maribel Arratia Martínez
Available Online October 2013.
- https://doi.org/10.2991/.2013.29How to use a DOI?
- Project portfolio selection, R&D projects, mixed integer linear programming
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/.2013.29 ID - ArratiaMartínez2013/10 ER -