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Review Article Open Access August 29, 2022

From Deterministic to Data-Driven: AI and Machine Learning for Next-Generation Production Line Optimization

Chirag Shah 1,*, Venkat Rama Reddy Sabbella 2 and Hussain Vali Buvvaji 3
1
Sr Software Engineer, USA
2
Senior Infrastructure Engineer, USA
3
System Architect, USA
Publihed in: Current Research in Public Health (Volume 2, Issue 1, 2022)
Page(s): 21-31
DOI: 10.31586/jaibd.2022.952
Received
February 20, 2022
Revised
May 23, 2022
Accepted
July 16, 2022
Published
August 29, 2022
Keywords
Industry 4.0; Internet of Things (IoT); Next Generation Product line; Artificial Intelligence (AI); Machine Learning (ML); Smart Manufacturing (SM)
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), 2022. Published by Scientific Publications
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Cite This Article

APA Style
Shah, C. , Sabbella, V. R. R. , & Buvvaji, H. V. (2022). From Deterministic to Data-Driven: AI and Machine Learning for Next-Generation Production Line Optimization. Current Research in Public Health, 2(1), 21-31. https://doi.org/10.31586/jaibd.2022.952
ACS Style
Shah, C. ; Sabbella, V. R. R. ; Buvvaji, H. V. From Deterministic to Data-Driven: AI and Machine Learning for Next-Generation Production Line Optimization. Current Research in Public Health 2022 2(1), 21-31. https://doi.org/10.31586/jaibd.2022.952
Chicago/Turabian Style
Shah, Chirag, Venkat Rama Reddy Sabbella, and Hussain Vali Buvvaji. 2022. "From Deterministic to Data-Driven: AI and Machine Learning for Next-Generation Production Line Optimization". Current Research in Public Health 2, no. 1: 21-31. https://doi.org/10.31586/jaibd.2022.952
AMA Style
Shah C, Sabbella VRR, Buvvaji HV. From Deterministic to Data-Driven: AI and Machine Learning for Next-Generation Production Line Optimization. Current Research in Public Health. 2022; 2(1):21-31. https://doi.org/10.31586/jaibd.2022.952 
@Article{crph952,
AUTHOR = {Shah, Chirag and Sabbella, Venkat Rama Reddy and Buvvaji, Hussain Vali},
TITLE = {From Deterministic to Data-Driven: AI and Machine Learning for Next-Generation Production Line Optimization},
JOURNAL = {Current Research in Public Health},
VOLUME = {2},
YEAR = {2022},
NUMBER = {1},
PAGES = {21-31},
URL = {https://www.scipublications.com/journal/index.php/JAIBD/article/view/952},
ISSN = {2831-5162},
DOI = {10.31586/jaibd.2022.952},
ABSTRACT = {The advancement of modern manufacturing is synonymous with the growth of automation. Automation replaces human operators, improves productivity and quality, and reduces costs. However, the initial financial cost and knowledge requirements can be barriers to embracing automation. Manufacturers are now seeking smart manufacturing, known as the fourth industrial revolution. Smart manufacturing goes beyond automation and utilizes IoT, AI, and big data for optimized production. In a smart factory, production can be linked and controlled innovatively, leading to increased performance, agility, and reduced costs.},
}
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AB  - The advancement of modern manufacturing is synonymous with the growth of automation. Automation replaces human operators, improves productivity and quality, and reduces costs. However, the initial financial cost and knowledge requirements can be barriers to embracing automation. Manufacturers are now seeking smart manufacturing, known as the fourth industrial revolution. Smart manufacturing goes beyond automation and utilizes IoT, AI, and big data for optimized production. In a smart factory, production can be linked and controlled innovatively, leading to increased performance, agility, and reduced costs.
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