Previsão da duração de carregamentos de embarcações PLSV

  • Rachel Martins Ventriglia PUC-Rio
  • Leonardo Bastos PUC-Rio
  • Karla Figueiredo UERJ
  • Marley Vallasco PUC-Rio

Resumo


As embarcações Pipe-laying Support Vessel (PLSV) realizam tarefas de interligação submarinas, que necessitam de diversos recursos materiais. Estes recursos são carregados nos navios, e atualmente o planejamento dos carregamentos é resolvido de forma heurística, com taxas de erros altas, em torno de 84%. Com o objetivo de auxiliar neste planejamento operacional, este trabalho propôs a investigação e seleção de diversos modelos de aprendizado de máquina para prever a duração dos carregamentos. Os modelos que apresentaram melhor desempenho na base de teste foram o Gradient Boosting, Regressão Linear e o Stacking Regressor, com um erro percentual médio absoluto de no máximo 36% nos dados de teste.

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Publicado
28/11/2022
VENTRIGLIA, Rachel Martins; BASTOS, Leonardo; FIGUEIREDO, Karla; VALLASCO, Marley. Previsão da duração de carregamentos de embarcações PLSV. In: ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL (ENIAC), 19. , 2022, Campinas/SP. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022 . p. 294-305. ISSN 2763-9061. DOI: https://doi.org/10.5753/eniac.2022.227313.

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