Industry 4.0, Smart Manufacturing, and Industrial Engineering
Challenges and Opportunities
Sorozatcím: Advances in Intelligent Decision-Making, Systems Engineering, and Project Management;
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Beszerezhetőség
Becsült beszerzési idő: A Prosperónál jelenleg nincsen raktáron, de a kiadónál igen. Beszerzés kb. 3-5 hét..
A Prosperónál jelenleg nincsen raktáron.
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A termék adatai:
- Kiadás sorszáma 1
- Kiadó CRC Press
- Megjelenés dátuma 2024. szeptember 16.
- ISBN 9781032753270
- Kötéstípus Keménykötés
- Terjedelem388 oldal
- Méret 234x156 mm
- Súly 689 g
- Nyelv angol
- Illusztrációk 73 Illustrations, black & white; 2 Halftones, black & white; 71 Line drawings, black & white; 22 Tables, black & white 596
Kategóriák
Rövid leírás:
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.
TöbbHosszú leírás:
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 profound impact of Industry 4.0, which involves the seamless integration of digital technologies into manufacturing processes within the realm of industrial engineering.
Industry 4.0, Smart Manufacturing, and Industrial Engineering: Challenges and Opportunities thoroughly examines the intricate facets of Industry 4.0 and Smart Manufacturing, offering a comprehensive overview of the challenges and opportunities that this paradigm shift presents to industrial engineers. It provides practical insights and strategies to help professionals navigate the complexities of this evolving landscape. Fundamental components of Industry 4.0 and Smart Manufacturing, ranging from the incorporation of sensors and data analytics to the deployment of cyber-physical systems and the promotion of sustainable practices are covered in detail. The book addresses the obstacles and prospects brought about by Industry 4.0 in the digital age and offers solutions to issues such as data security, interoperability, and workforce preparedness.
The book sheds light on how Industry 4.0 combines various disciplines, including engineering technology, data science, and management. It serves as a valuable resource for researchers, undergraduate and postgraduate students, as well as professionals operating in the field of industrial engineering and related domains.
TöbbTartalomjegyzék:
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.
Több
