Dual Response Approach in Process Capability based on Hybrid Neural Network-Genetic Algorithms

Journal of Sustainable Engineering: Proceedings Series

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Title Dual Response Approach in Process Capability based on Hybrid Neural Network-Genetic Algorithms
Creator Arungpadang, Tritiya A.R.
Tangkuman, Stenly
Patras, Lily S.
Subject process capability
dual response approach
artificial intelligence
Description Process capability has long been recognized as an important performance measure to prove how well the process meets the requirements. Process capability can be improved by applying dual response approach, to determine optimal input factors. Using of artificial intelligence can optimize the prediction of the best input combination with a limited number of experiments. This study proposes an alternatives procedure using a dual response approach and artificial intelligence. One of the most common robust design models has been formulated to minimize variability while maintaining the mean on the desired target. A study case was selected to implement the proposed approach and compare it with conventional optimization models to show the improvement in procedures.
Publisher Fakultas Teknik Universitas Sam Ratulangi
Date 2019-06-30
Type info:eu-repo/semantics/article
Peer-reviewed Article
Format application/pdf
Identifier http://seps.unsrat.ac.id/journals/index.php/joseps/article/view/16
Source Journal of Sustainable Engineering: Proceedings Series; Vol 1 No 1 (2019); 117-122
Language eng
Relation http://seps.unsrat.ac.id/journals/index.php/joseps/article/view/16/14
Rights Copyright (c) 2019 Tritiya A.R. Arungpadang, Stenly Tangkuman, Lily S. Patras

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