Industry 4.0 is a revolutionary concept that aims to enhance productivity and profitability in various industries through the implementation of smart manufacturing techniques. This book discusses the impact of Industry 4.0, which involves the integration of digital technologies into manufacturing processes within industrial engineering.
Inhaltsverzeichnis
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.
