In this work was performed a Monte Carlo Simulation for a mathematics model to experimental planning of Taguchi. The software has enabled an upgrading of the variables planning value of 54,26% of TOC, 53,28% of DQO and 6,58% of Total Phenols, that feature the importance of the method for the experimental optimizations, and thereafter reduction of experiments to be realized in the job first step.
| Published in |
American Journal of Theoretical and Applied Statistics (Volume 3, Issue 6-1)
This article belongs to the Special Issue Statistical Engineering |
| DOI | 10.11648/j.ajtas.s.2014030601.12 |
| Page(s) | 19-22 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Monte Carlo Simulation, Taguchi, Multiobjective Optimization
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APA Style
Ana Paula Barbosa Rodrigues de Freitas, Leandro Valim de Freitas, Carla Cristina Almeida Loures, Aneirson Francisco da Silva, Lúcio Gualiato Gonçalves, et al. (2014). Taguchi Orthogonal Array Combined with Monte Carlo Simulation in the Optimization of Wastewater Treatment. American Journal of Theoretical and Applied Statistics, 3(6-1), 19-22. https://doi.org/10.11648/j.ajtas.s.2014030601.12
ACS Style
Ana Paula Barbosa Rodrigues de Freitas; Leandro Valim de Freitas; Carla Cristina Almeida Loures; Aneirson Francisco da Silva; Lúcio Gualiato Gonçalves, et al. Taguchi Orthogonal Array Combined with Monte Carlo Simulation in the Optimization of Wastewater Treatment. Am. J. Theor. Appl. Stat. 2014, 3(6-1), 19-22. doi: 10.11648/j.ajtas.s.2014030601.12
AMA Style
Ana Paula Barbosa Rodrigues de Freitas, Leandro Valim de Freitas, Carla Cristina Almeida Loures, Aneirson Francisco da Silva, Lúcio Gualiato Gonçalves, et al. Taguchi Orthogonal Array Combined with Monte Carlo Simulation in the Optimization of Wastewater Treatment. Am J Theor Appl Stat. 2014;3(6-1):19-22. doi: 10.11648/j.ajtas.s.2014030601.12
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Download@article{10.11648/j.ajtas.s.2014030601.12,
author = {Ana Paula Barbosa Rodrigues de Freitas and Leandro Valim de Freitas and Carla Cristina Almeida Loures and Aneirson Francisco da Silva and Lúcio Gualiato Gonçalves and Messias Borges Silva},
title = {Taguchi Orthogonal Array Combined with Monte Carlo Simulation in the Optimization of Wastewater Treatment},
journal = {American Journal of Theoretical and Applied Statistics},
volume = {3},
number = {6-1},
pages = {19-22},
doi = {10.11648/j.ajtas.s.2014030601.12},
url = {https://doi.org/10.11648/j.ajtas.s.2014030601.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.s.2014030601.12},
abstract = {In this work was performed a Monte Carlo Simulation for a mathematics model to experimental planning of Taguchi. The software has enabled an upgrading of the variables planning value of 54,26% of TOC, 53,28% of DQO and 6,58% of Total Phenols, that feature the importance of the method for the experimental optimizations, and thereafter reduction of experiments to be realized in the job first step.},
year = {2014}
}
TY - JOUR T1 - Taguchi Orthogonal Array Combined with Monte Carlo Simulation in the Optimization of Wastewater Treatment AU - Ana Paula Barbosa Rodrigues de Freitas AU - Leandro Valim de Freitas AU - Carla Cristina Almeida Loures AU - Aneirson Francisco da Silva AU - Lúcio Gualiato Gonçalves AU - Messias Borges Silva Y1 - 2014/12/27 PY - 2014 N1 - https://doi.org/10.11648/j.ajtas.s.2014030601.12 DO - 10.11648/j.ajtas.s.2014030601.12 T2 - American Journal of Theoretical and Applied Statistics JF - American Journal of Theoretical and Applied Statistics JO - American Journal of Theoretical and Applied Statistics SP - 19 EP - 22 PB - Science Publishing Group SN - 2326-9006 UR - https://doi.org/10.11648/j.ajtas.s.2014030601.12 AB - In this work was performed a Monte Carlo Simulation for a mathematics model to experimental planning of Taguchi. The software has enabled an upgrading of the variables planning value of 54,26% of TOC, 53,28% of DQO and 6,58% of Total Phenols, that feature the importance of the method for the experimental optimizations, and thereafter reduction of experiments to be realized in the job first step. VL - 3 IS - 6-1 ER -
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