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Home > Science, Technology & Agriculture > Technology: general issues > Engineering: general books > Lean Six Sigma e aprendizagem automática para otimização
Lean Six Sigma e aprendizagem automática para otimização

Lean Six Sigma e aprendizagem automática para otimização


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About the Book

A exploração de petróleo pesado apresenta desafios energéticos e operacionais significativos devido à alta viscosidade, o que impacta diretamente na eficiência dos processos de recuperação térmica. No campo Tsimiroro de Madagascar, a previsão precisa da viscosidade é crítica para otimizar a injeção de vapor e mitigar o desperdício excessivo de energia. Este estudo adota a metodologia Lean Six Sigma como framework estruturado para eliminar Mudas (desperdícios) operacionais relacionados ao consumo excessivo de vapor. Uma estrutura preditiva baseada em aprendizado de máquina foi desenvolvida, comparando seis arquiteturas distintas: Regressão Linear, Regressão Polinomial de Segundo Grau, Máquina de Vetores de Suporte (SVM), Rede Neural Artificial (RNA), Floresta Aleatória e XGBoost. Os resultados demonstram que enquanto o modelo polinomial atinge alta precisão estatística (R² = 0,995, RMSE = 154,62 cSt), a arquitetura da Rede Neural Artificial oferece robustez superior (R² = 1,000, RMSE = 154,62 cSt) na captura de comportamentos térmicos não lineares complexos. XGBoost e Random Forest apresentam desempenho competitivo com valores de R² de 0,90 e 0,91 respectivamente, enquanto SVM exibe os maiores erros de predição (RMSE ≈ 780 cSt).


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Product Details
  • ISBN-13: 9786630133196
  • Publisher: Edicoes Nosso Conhecimento
  • Publisher Imprint: Edicoes Nosso Conhecimento
  • Height: 229 mm
  • No of Pages: 56
  • Returnable: N
  • Weight: 141 gr
  • ISBN-10: 6630133196
  • Publisher Date: 10 Jun 2026
  • Binding: Paperback
  • Language: Portuguese
  • Returnable: N
  • Spine Width: 3 mm
  • Width: 152 mm


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