A framework for project portfolio selection in the context of a Federal Institution of Higher Education
DOI:
https://doi.org/10.46421/entac.v19i1.1962Keywords:
TOPSIS, ILP, Portfolio Selection, IFESAbstract
The article proposes a framework integrating TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) with Integer Linear Programming (IPL) to select a portfolio that considers not only the existing constraints, but also quantitative and qualitative criteria. that impact the mission of Federal Institutions of Higher Education (IFES). A numerical application is presented to illustrate the framework is easily deployed and understood by the actors involved, resulting in the choice of a portfolio that represents the organization's best interest, and it is easily replicated.
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