Next-Generation Manufacturing: Leveraging Artificial Intelligence for Industrial Innovation

Abstract

Artificial Intelligence is emerging as a cornerstone of next- generation manufacturing, driving productivity, efficiency, and innovation across the industrial sector. This comprehensive review focuses on AI applications across key manufacturing domains, including predictive maintenance, quality control, robotics and automation, supply chain management, energy optimization, and additive manufacturing. AI enables real- time equipment monitoring to reduce downtime, enhances defect detection through machine learning and image recognition, and improves flexibility via intelligent robotics. In supply chains, AI supports accurate forecasting and efficient logistics, while in energy management, it fosters sustainability through data- driven optimization. Additive manufacturing benefits from AI- driven design and defect control, improving product quality and reducing waste. Despite these advances, challenges such as implementation costs, legacy system integration, and cybersecurity risks remain critical considerations for Industry 4.0 adoption.