Modeling of throughput in production lines using response surface methodology and artificial neural networks

DOI10.1155/2018/1254794zbMath1390.90301OpenAlexW2793361636MaRDI QIDQ1646435

Juan Carlos Seck-Tuoh-Mora, Federico Nuñez-Piña, Eva Selene Hernandez-Gress, Norberto Hernández-Romero, Joselito Medina-Marín

Publication date: 25 June 2018

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/1254794

zbMATH Keywords

combinatorial problemartificial neural networkNP-hard problembuffer allocationoptimum production rate

Mathematics Subject Classification ID

Analysis of algorithms and problem complexity (68Q25) Production models (90B30) Combinatorial optimization (90C27) Neural networks for/in biological studies, artificial life and related topics (92B20)

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