PROJECT SELECTION PROCESS IN A POWER UTILITY FIRM IN BRAZIL USING MULTI-CRITERIA ANALYSIS / CLASSIFICAÇÃO DE PROJETOS EM DISTRIBUIDORAS DE ENERGIA ELÉTRICA NO BRASIL UTILIZANDO ANALISE DE DECISÃO MULTICRITÉRIO
AUTOR(ES)
FABIO JORGE SIERVO DA MOTTA
FONTE
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia
DATA DE PUBLICAÇÃO
27/06/2011
RESUMO
The evaluation of a project and its economic and financial viability are frequently calculated using the discounted cash flow method. However, the fact that a project is financially feasible doesn´t necessarily means that it reflects the preferences of the stakeholders. Besides this, the discounted cash flow method isn´t capable of valuing projects with relevant qualitative aspects. In order to try to capture these significant aspects, an appraisal methodology such as Multi-criteria analysis (MCA) is required. This article describes a project selection process made by an Investment Committee (IC)in a power utility firm using a multi-criteria analysis method, the MAPM (Mutiattribute Preference Model), and how these quantitative and qualitative criteria can play a relevant role for the project selection decision. We study the decision process by first asking the IC members to attribute weights for both objectives (two) and criteria (seven), in order to access the utility function of each IC member and then analyzing the behavior and consistency of the decisions produced through calculation of the score of each project. Results indicate that there is consistency between the strategy defined by the firm and the project selection process. Additionally, the results obtained with the MAPM approach were compared with these obtained using another MCA methodology: the AHP (Analytic Hierarchy Process), which yields similar results. The results also show that the application of multi-criteria analysis in a real context of a power utility firm can play a relevant role on capital investment valuation and decision tacking process.
ASSUNTO(S)
avaliacao de projetos capital budgeting selecao de projetos portfolio selection energia eletrica electric energy analise analyses
ACESSO AO ARTIGO
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