Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/243193
Type: Artigo
Title: R&D and innovation project selection: can optimization methods be adequate?
Author: Bin, Adriana
Azevedo, Anibal
Duarte, Leonardo
Salles-Filho, Sérgio
Massaguer, Pedro
Abstract: This article proposes a comprehensive framework for R&D and innovation project selection under uncertainty and subject to real-world constraints applicable to the Brazilian electricity sector, using a combination of integer programming formulation and a P
Subject: Pesquisa e desenvolvimento - Gestão
Inovações tecnológicas - Gestão
Country: Países Baixos
Editor: Elsevier
Citation: R&d And Innovation Project Selection: Can Optimization Methods Be Adequate?. Elsevier Science Bv, v. 55, p. 613-621 2015.
Rights: Fechado
Identifier DOI: 10.1016/j.procs.2015.07.051
Address: http://www.sciencedirect.com/science/article/pii/S1877050915015264
Date Issue: 2015
Appears in Collections:IG - Artigos e Outros Documentos
FCA - Artigos e Outros Documentos

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