Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/7074
Title: The decision support in electricity generation : a model of integrated parameters and indicators.
Authors: Baracho, Renata Maria Abrantes
Bonatti, Rogério Amaral
Baracho, Francisco Ricardo Abrantes Couy
Pessanha, Christiano
Rezende, Marina M. Starling
Silva, Cláudio Homero Ferreira
Keywords: Knowledge management
Decision making
Strategic planning
Electric power
Issue Date: 2015
Citation: BARACHO, R. M. A. et al. The decision support in electricity generation: a model of integrated parameters and indicators. Journal of Systemics, Cybernetics and Informatics, v. 13, n. 2. p. 58-63, 2015. Disponível em: <http://www.iiisci.org/journal/sci/FullText.asp?var=&id=ZA076KL15>. Acesso em: 28 set. 2016.
metadata.dc.description.abstracten: This paper presents the construction of a model to support corporate managers in the energy sector. It is expected that the identification and measurement of parameters involved in decision making in this sector can assist managers in new projects of power generation. Knowledge management and strategic planning originate the resources necessary for correct alignment with the goals and expectations of organizations. It is thus possible to define different scenarios to be presented to managers. Through interviews with consultants and experts in the energy sector it was possible to define and validate a set of indicators which will be used in the proposed model. Hence a questionnaire to a representative sample of managers and others involved in the decision making processes of companies in the electricity power sector is filled in. In addition, contributions from researchers from Information Science, Electrical Engineering and Administration are of prime importance as well and are carried out in this work. The management model proposed is part of an ongoing research on strategic planning and on decision-making to enterprises of power generation from renewable sources.
URI: http://www.repositorio.ufop.br/handle/123456789/7074
ISSN: 1690-4524
metadata.dc.rights.license: Authors can re-publish their respective article by just citing the original publication in JSCI. Fonte: Journal of Systemics, Cybernetics and Informatics <http://www.iiisci.org/journal/sci/Information-Contributors.pdf?var=>. Acesso em: 15 out. 2019.
Appears in Collections:DEENP - Artigos publicados em periódicos

Files in This Item:
File Description SizeFormat 
ARTIGO_DecisionSupportEletricity.pdf598,66 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.