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Journal of Arts, Society, and Education Studies

Volume 4, 2022 - Issue 3

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Journal Article

AI in Manufacturing: Revolutionizing Production and Quality Control

by Jessica Lopez 1,*
1
Tallinn University of Technology
*
Author to whom correspondence should be addressed.
JASES  2022 4(3):112; https://doi.org/10.xxxx/xxxxxx
Received: 20 July 2022 / Accepted: 25 August 2022 / Published Online: 27 September 2022
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Abstract

This paper explores the transformative role of artificial intelligence (AI) in the manufacturing industry, focusing on how AI technologies are revolutionizing production and quality control. Through an analysis of case studies and industry reports, the study investigates how AI-driven solutions such as predictive maintenance, robotic automation, and defect detection are reshaping various aspects of manufacturing processes, including assembly, machining, and inspection. It discusses the potential benefits of AI in improving production efficiency, reducing downtime, and enhancing product quality, while also addressing challenges related to data security, workforce adaptation, and ethical considerations. Additionally, the paper examines the role of AI in enabling more flexible and adaptive manufacturing systems, by optimizing equipment utilization, predicting maintenance needs, and identifying potential defects in real-time. Furthermore, it discusses the importance of collaboration between manufacturers, technology providers, and regulatory bodies, investment in AI talent and infrastructure, and continuous improvement and validation of AI models in harnessing the full potential of AI in manufacturing. The findings underscore the transformative power of AI in creating more agile, efficient, and resilient manufacturing processes to meet the evolving demands of the global market.

Keywords: Artificial Intelligence; Manufacturing; Production; Quality Control; Predictive Maintenance; Robotic Automation; Defect Detection;
Copyright: © 2022 by Lopez. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
Lopez, J. AI in Manufacturing: Revolutionizing Production and Quality Control. Journal of Arts, Society, and Education Studies, 2022, 4, 112. doi:10.xxxx/xxxxxx
AMA Style
Lopez J. AI in Manufacturing: Revolutionizing Production and Quality Control. Journal of Arts, Society, and Education Studies; 2022, 4(3):112. doi:10.xxxx/xxxxxx
Chicago/Turabian Style
Lopez, Jessica 2022. "AI in Manufacturing: Revolutionizing Production and Quality Control" Journal of Arts, Society, and Education Studies 4, no.3:112. doi:10.xxxx/xxxxxx

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References

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