Combining multiple criteria analysis, mathematical programming and Monte Carlo simulation to tackle uncertainty in research and development project portfolio selection: a case study from Greece

DOI10.1016/j.ejor.2020.09.051zbMath1487.90463OpenAlexW3092378314MaRDI QIDQ2030737

Evangelos Makryvelios, George Mavrotas

Publication date: 7 June 2021

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2020.09.051

zbMATH Keywords

simulationmultiple criteria analysisuncertainty modelingproject portfolio selectionOR in research and development

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Production theory, theory of the firm (91B38) Case-oriented studies in operations research (90B90)

Related Items (3)

Portfolio optimization under a minimax rule revisited ⋮ Multi-criteria mapping and prioritization of arctic and north atlantic maritime safety and security needs ⋮ An interactive algorithm for resource allocation with balance concerns

Uses Software

• GAMS

Cites Work

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• Project evaluation and selection in a network of collaboration: A consensual disaggregation multi-criterion approach

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