Industry 4.0, Smart Manufacturing, and Industrial Engineering : Challenges and Opportunities (Hardcover)

1. Introduction to Industry 4.0. 2. Security Concerns and Controls of Intelligent Cobots of Industry 4.0. 3. Big Data Analytics (BDA) for Industry 5.0. 4. Machine Learning ? Enabled Predictive Analytics for Quality Assurance in Industry 4.0 and Smart Manufacturing: A Case Study on Red and White wine Quality Classification. 5. Leveraging Clustering Algorithms for Predictive Analytics in Blockchain Networks. 6. Use of Digital Twin and Internet of Vehicles Technologies for Smart Electric Vehicles in the Manufacturing Industry. 7. AI Applications in Production. 8. IoT-Driven Supply Chain Management: A Comprehensive Framework for Smart and Sustainable Operations. 9. Supply Chain Management in the Digital Age for Industry 4.0. 10. Artificial Intelligence, Computer Vision and Robotics for Industry 5.0.?11. Data Analytics and Decision-Making in Industry 4.0.?12. Evolving Landscape of Industrial Engineering in Modern Era. 13. Artificial Intelligence (AI)-Enhanced Digital Twin Technology in Smart Manufacturing. 14. Smart Manufacturing: Navigating Challenges, Seizing Opportunities, and Charting Future Directions - A Comprehensive Review. 15. Industry 4.0 in Manufacturing, Communication, Transportation, Healthcare. 16. Artificial Intelligence based anomaly detection for Industry 4.0: A Sustainable Approach. 17. Future of Industry 5.0 in Society 5.0: Human-Computer Interaction based Solutions for Next Generation. 18.?The Future of Manufacturing and Artificial Intelligence: Industry 6.0, and Beyond.