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Complexity
Volume 2018, Article ID 1254794, 10 pages
https://doi.org/10.1155/2018/1254794
Research Article

Modeling of Throughput in Production Lines Using Response Surface Methodology and Artificial Neural Networks

Engineering Department, Autonomous University of Hidalgo State, Carr. Pachuca-Tulancingo, Col. Carboneras, 42184 Mineral de la Reforma, HGO, Mexico

Correspondence should be addressed to Joselito Medina-Marin; xm.ude.heau@anidemj

Received 5 November 2017; Accepted 21 December 2017; Published 31 January 2018

Academic Editor: Julio Blanco-Fernández

Copyright © 2018 Federico Nuñez-Piña et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Federico Nuñez-Piña, Joselito Medina-Marin, Juan Carlos Seck-Tuoh-Mora, Norberto Hernandez-Romero, and Eva Selene Hernandez-Gress, “Modeling of Throughput in Production Lines Using Response Surface Methodology and Artificial Neural Networks,” Complexity, vol. 2018, Article ID 1254794, 10 pages, 2018. https://doi.org/10.1155/2018/1254794.