AI Revolution in Manufacturing

artificial intelligence, automation, robotics, predictive maintenance, machine learning, data analytics, smart factories, Industry 4.0, supply chain optimization, quality control, Internet of Things,

씨익북스 편집부 지음

타우루스 2025년 02월 12일 출간

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책소개

"**Book Title: AI Revolution in Manufacturing**

In the rapidly evolving landscape of the manufacturing sector, the integration of artificial intelligence (AI) and advanced technologies heralds a new era defined by efficiency, innovation, and sustainability. AI Revolution in Manufacturing delves into the transformative impact of AI, automation, and robotics in reshaping traditional manufacturing processes. This comprehensive guide explores the key components of Industry 4.0, showcasing how smart factories leverage the Internet of Things (IoT) and real-time data analytics to enhance production efficiency and optimize supply chains.

Readers will discover the significance of predictive maintenance powered by machine learning, enabling manufacturers to foresee equipment failures and minimize downtime, thus driving cost reduction and improving overall operational reliability. The book also emphasizes the role of digital twins in process optimization, allowing for virtual simulations that enhance quality control and streamline inventory management.

Moreover, AI Revolution in Manufacturing addresses the collaborative potential of human and machine partnerships, highlighting workforce collaboration as a critical element for success in this new industrial landscape. With a focus on safety enhancement and scalability, the text illustrates how businesses can adapt to market fluctuations through effective demand forecasting and agile manufacturing practices.

The authors present case studies and insights from industry leaders, demonstrating how embracing AI technologies can lead to a competitive advantage and foster sustainable practices. This book is an essential resource for manufacturing professionals, business leaders, and students eager to understand the future of manufacturing in an AI-driven world. As we stand on the cusp of this revolution, AI Revolution in Manufacturing offers a roadmap for navigating the complexities of modern manufacturing while harnessing the power of innovation for lasting success."

목차

"1. The Rise of AI in Manufacturing
2. Transforming Production Lines with Automation
3. Robotics: The Future of Industrial Work
4. Understanding Predictive Maintenance
5. Harnessing Machine Learning for Efficiency
6. Data Analytics: The Backbone of Smart Manufacturing
7. Building Smart Factories for the Future
8. Embracing Industry 4.0: A New Era
9. Optimizing Supply Chains with AI
10. Enhancements in Quality Control through Technology
11. The Internet of Things in Manufacturing
12. Real-Time Monitoring for Better Decision Making
13. Boosting Production Efficiency with AI
14. Cost Reduction Strategies through Automation
15. Collaborating with a Tech-Enhanced Workforce
16. Exploring the Concept of Digital Twin
17. Process Optimization in Modern Manufacturing
18. Accurate Demand Forecasting Techniques
19. Effective Inventory Management with AI
20. Enhancing Safety in Manufacturing Environments
21. Scalability: Adapting to Market Changes
22. Fostering Innovation in Manufacturing Processes
23. Gaining Competitive Advantage through AI
24. The Role of Sustainability in Manufacturing
25. Integrating AI into Legacy Systems
26. The Impact of Automation on Workforce Dynamics
27. Future Trends in Robotics for Manufacturing
28. The Importance of Real-Time Data Analytics
29. Smart Sensors and Their Role in Manufacturing
30. Building Resilience in Supply Chains
31. The Evolution of Manufacturing Technologies
32. Ethical Considerations in AI Implementation
33. Creating a Culture of Collaboration in Factories
34. The Benefits of Customization through AI
35. Leveraging Big Data for Operational Success
36. Understanding the Challenges of Industry 4.0
37. The Role of AI in Enhancing Customer Experience
38. Future-Proofing Manufacturing Businesses
39. Case Studies of Successful AI Implementations
40. The Intersection of AI and Human Skills
41. Navigating the Digital Transformation Journey
42. The Economic Impact of AI on Manufacturing
43. Strategies for Effective Change Management
44. The Role of Leadership in AI Adoption
45. Enhancing Product Lifecycle Management with AI
46. Understanding the Skills Gap in Modern Manufacturing
47. The Future of Work: Humans and AI Collaboration
48. The Global Impact of AI on Manufacturing Competitiveness
49. Strategies for Sustainable Manufacturing Practices
50. Preparing for the Next Industrial Revolution"

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