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Optimizing Manufacturing with Intelligent Solutions

by Joseph Moore
1
University of Limerick
*
Author to whom correspondence should be addressed.
JEIT  2023 5(3):216; https://doi.org/10.xxxx/xxxxxx
Received: 21 September 2023 / Accepted: 30 September 2023 / Published Online: 30 September 2023

Abstract

This paper explores the optimization of manufacturing through intelligent solutions enabled by AI-driven engineering. Through case studies and research insights, it investigates how artificial intelligence is revolutionizing various aspects of manufacturing, including production planning, quality control, and supply chain management. The study highlights the application of AI techniques such as predictive maintenance, anomaly detection, and adaptive robotics in improving productivity, flexibility, and sustainability in manufacturing processes. Additionally, it discusses the integration of AI with industrial IoT, digital twins, and additive manufacturing technologies to enable smart factories, real-time monitoring, and mass customization. The paper also addresses challenges such as workforce upskilling, data integration, and regulatory compliance in the adoption of AI-driven engineering solutions in manufacturing. It emphasizes the importance of collaboration, innovation culture, and agile methodologies in harnessing AI's potential to create more competitive, responsive, and resilient manufacturing ecosystems.

 


Copyright: © 2023 by Moore. 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
Moore, J. Optimizing Manufacturing with Intelligent Solutions. Journal of Engineering Innovations & Technology, 2023, 5, 216. doi:10.xxxx/xxxxxx
AMA Style
Moore J. Optimizing Manufacturing with Intelligent Solutions. Journal of Engineering Innovations & Technology; 2023, 5(3):216. doi:10.xxxx/xxxxxx
Chicago/Turabian Style
Moore, Joseph 2023. "Optimizing Manufacturing with Intelligent Solutions" Journal of Engineering Innovations & Technology 5, no.3:216. doi:10.xxxx/xxxxxx

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References

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