Abstract
The manufacturing industry is embracing artificial intelligence (AI) and neural networks to optimize production processes, improve efficiency, and reduce costs. This article explores the role of AI, specifically neural networks, in enhancing manufacturing processes. It focuses on how AI-driven solutions, including predictive maintenance, quality control, and process optimization, are transforming manufacturing operations. By leveraging neural networks, manufacturers can predict equipment failures, identify quality defects in real-time, and optimize production schedules to maximize output while minimizing waste.
All articles published in the American Journal of Artificial Intelligence and Neural Networks (AJAINN) are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
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