Use este identificador para citar ou linkar para este item:
http://www.repositorio.ufop.br/jspui/handle/123456789/7074| Título: | The decision support in electricity generation : a model of integrated parameters and indicators. |
| Autor(es): | Baracho, Renata Maria Abrantes Bonatti, Rogério Amaral Baracho, Francisco Ricardo Abrantes Couy Pessanha, Christiano Rezende, Marina M. Starling Silva, Cláudio Homero Ferreira |
| Palavras-chave: | Knowledge management Decision making Strategic planning Electric power |
| Data do documento: | 2015 |
| Referência: | 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. |
| Resumo em outra língua: | 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 |
| Licença: | 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. |
| Aparece nas coleções: | DEENP - Artigos publicados em periódicos |
Arquivos associados a este item:
| Arquivo | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| ARTIGO_DecisionSupportEletricity.pdf | 598,66 kB | Adobe PDF | Visualizar/Abrir |
Os itens no repositório estão protegidos por copyright, com todos os direitos reservados, salvo quando é indicado o contrário.