A novel methodology employed for ranking and consolidating performance indicators in holding companies with multiple power plants based on multi-criteria decision-making method (2022)
- Authors:
- USP affiliated authors: NABETA, SILVIO IKUYO - EP ; SOUZA, GILBERTO FRANCISCO MARTHA DE - EP
- Unidade: EP
- DOI: 10.1016/j.orp.2022.100254
- Subjects: MANUTENÇÃO (PESQUISA OPERACIONAL); PERFORMANCE
- Language: Inglês
- Imprenta:
- Source:
- Título: Operations Research Perspectives
- ISSN: 2214-7160
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
MURAD, Carlos Alberto et al. A novel methodology employed for ranking and consolidating performance indicators in holding companies with multiple power plants based on multi-criteria decision-making method. Operations Research Perspectives, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.orp.2022.100254. Acesso em: 15 abr. 2026. -
APA
Murad, C. A., Bellinello, M. N., Silva, A. J., Caminada Netto, A., Souza, G. F. M. de, & Nabeta, S. I. (2022). A novel methodology employed for ranking and consolidating performance indicators in holding companies with multiple power plants based on multi-criteria decision-making method. Operations Research Perspectives. doi:10.1016/j.orp.2022.100254 -
NLM
Murad CA, Bellinello MN, Silva AJ, Caminada Netto A, Souza GFM de, Nabeta SI. A novel methodology employed for ranking and consolidating performance indicators in holding companies with multiple power plants based on multi-criteria decision-making method [Internet]. Operations Research Perspectives. 2022 ;[citado 2026 abr. 15 ] Available from: https://doi.org/10.1016/j.orp.2022.100254 -
Vancouver
Murad CA, Bellinello MN, Silva AJ, Caminada Netto A, Souza GFM de, Nabeta SI. A novel methodology employed for ranking and consolidating performance indicators in holding companies with multiple power plants based on multi-criteria decision-making method [Internet]. Operations Research Perspectives. 2022 ;[citado 2026 abr. 15 ] Available from: https://doi.org/10.1016/j.orp.2022.100254 - Equipment failure prediction based on neural network analysis incorporating maintainers inspection finding
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