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Title
Abstract
Introduction
Methodology Overview
Inventory Strategies and Data Analysis
Autonomous Material Handling and Logistics
Future Directions and Trends
Conclusion
References

Engineering and Technology Journal

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https://doi.org/10.30684/ETJ.2025.158872.1934
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15 pages

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Abstract

AI-driven robotics transforms smart manufacturing by improving efficiency, flexibility, and productivity. • Emerging tools like edge AI and digital twins enable real-time decisions through humanmachine collaboration. • AI-based automation reduces energy use, emissions, and waste, aligning with global sustainability objectives. • The transition to Industry 5.0 shifts toward more human-focused and environmentally sustainable production. Integrating AI-driven robotics and automation revolutionizes smart manufacturing by enhancing operational efficiency, productivity, and system flexibility across automotive, aerospace, and general equipment manufacturing industries. This review synthesizes findings from 84 peer-reviewed publications to evaluate the transformative potential of key AI technologies-including machine learning, digital twins, edge AI, and human-machine collaboration-in optimizing production lines and enabling predictive maintenance, real-time monitoring, and adaptive decision-making. While these innovations offer significant benefits in quality control, cost reduction, and sustainability, challenges remain in integrating AI with legacy systems, addressing workforce skill gaps, and ensuring cybersecurity and ethical compliance. Emerging trends such as 5G-enabled edge computing and collaborative robots (cobots) pave the way for low-latency communication and safer, more adaptable production environments aligned with Industry 5.0 principles. Real-world case studies demonstrate measurable economic impacts, including a 30% reduction in downtime at KONE's elevator manufacturing facility and scalable ROI for SMEs adopting AI-driven solutions. Furthermore, regulatory frameworks and ethical AI guidelines are increasingly essential for ensuring transparency, safety, and responsible deployment. Looking ahead, the convergence of immersive technologies (AR/VR/MR), digital twins, and ethical AI will further enhance virtual simulation, reduce material waste, and support sustainable industrial ecosystems. As manufacturers adopt these cuttingedge innovations, resilient, agile, and human-centric systems will become the new standard, balancing dynamic market demands with environmental and social responsibility. Ultimately, AI-driven automation promises to reshape global manufacturing ecosystems, driving economic growth and sustainable industrial transformation.

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