An integrated mathematical-computer approach for R&D project selection in large public organisations

Eduardo Fernandez, Fernando Lopez, Jorge Navarro, Ines Vega and Igor Litvinchev

International Journal of Mathematics in Operational Research, 2009, vol. 1, issue 3, 372-396

Abstract: This work concerns R&D management in social institutions, state-owned enterprises, and other non-profit organisations which periodically call for proposals for projects and distribute funds among them. The popular heuristics are criticised and a new integrated approach is proposed. This method is able to model the system of preferences and beliefs from upper management and to reflect it during the project evaluation and selection process by using 'intelligent' tools. The usual imprecision concerning funding requirements for each particular project are modelled through fuzzy sets. Other important results are: a quantitative model of quality of the portfolio combined with a linear integer-mixed approach for finding optimal solutions in problems of real size and a computer system that supports project selection processes at the top level of organisations, independently of their size.

Keywords: decision support systems; DSS; mathematical modelling; operational research; public organisations; R&D projects; project selection; research and development; fuzzy sets; fuzzy logic. (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=24291 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmore:v:1:y:2009:i:3:p:372-396

Access Statistics for this article

More articles in International Journal of Mathematics in Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().