Digital Manufacturing
Key Elements of a Digital Factory
- 1st Edition - December 1, 2023
- Imprint: Elsevier
- Editors: Chandrakant D. Patel, Chun-Hsien Chen
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 3 8 1 2 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 3 8 1 3 - 3
Digital Manufacturing: Key Elements of a Digital Factory explains the different devices and agents at the factory floor level that are driving the digital manufacturing revolutio… Read more
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Request a sales quoteDigital Manufacturing: Key Elements of a Digital Factory explains the different devices and agents at the factory floor level that are driving the digital manufacturing revolution, including autonomous robots, process automation, artificial intelligence and cyber-physical systems. Individual chapters explore the fundamentals and benefits of major digital manufacturing tools including robotics, the industrial internet of things, digital twins, edge security, knowledge discovery, service-centric production, and related supply-chain strategies. Real-world case studies from industry are provided throughout to show how these work in practice.
In addition to learning about individual technologies, readers will discover how they are integrating to drive the digital transformation of manufacturing ecosystem. Final sections present new business models working towards sustainable net zero operations and economy.
- Helps produce the "T-shaped" engineers needed in today’s digital manufacturing age by providing carefully selected foundational information from a range of disciplines
- Includes important coverage of cybersecurity models and analysis
- Draws on industry best practice to explain how to implement cutting-edge technologies successfully
Researchers in academia and industry working on digital manufacturing technologies
1. Building a 3D Digital Factory
2. Robotics in Intelligent Manufacturing
3. Robot Surface Interaction for Industrial Tooling Tasks
4. Artificial Intelligence of Things for Industrial Vision Applications
5. Edge Intelligence: From Deep Learning’s Perspective
6. Digital Twin-based Decision Support System for Planning and Scheduling
7. Resource Allocation for Distributed Production Networks
8. Engineering Knowledge Management and Industrial Knowledge Graph
9. Service-oriented digital manufacturing
10. Business models and supply chain strategy for digital manufacturing
11. Security for Digital Manufacturing
12. Accelerating Digital Transformation in Manufacturing Ecosystem
2. Robotics in Intelligent Manufacturing
3. Robot Surface Interaction for Industrial Tooling Tasks
4. Artificial Intelligence of Things for Industrial Vision Applications
5. Edge Intelligence: From Deep Learning’s Perspective
6. Digital Twin-based Decision Support System for Planning and Scheduling
7. Resource Allocation for Distributed Production Networks
8. Engineering Knowledge Management and Industrial Knowledge Graph
9. Service-oriented digital manufacturing
10. Business models and supply chain strategy for digital manufacturing
11. Security for Digital Manufacturing
12. Accelerating Digital Transformation in Manufacturing Ecosystem
- Edition: 1
- Published: December 1, 2023
- No. of pages (Paperback): 506
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780443138126
- eBook ISBN: 9780443138133
CP
Chandrakant D. Patel
Chandrakant D. Patel is a Chief Engineer and Senior Fellow at HP Inc., United States. He is a pioneer in thermal and energy management in data centers and in applications of the information technology to drive available energy management at city scales. He currently leads the HP Global Technical Community, and he also leads the strategic selection of technologies in light of the social, economic, and ecological megatrends that are shaping our future. His current technical interests are focused on leveraging his multidisciplinary past work to develop the 21st century cyber physical systems such as HP’s 3D Print Engines.
Affiliations and expertise
HP Inc., United States.CC
Chun-Hsien Chen
Chun-Hsien Chen is a Full Professor at the School of Mechanical and Aerospace Engineering of Nanyang Technological University, Singapore, where he is also Director of the Design Stream and Professor-in-Charge of the Design & Human Factors Laboratory. He has several years of product design and development experience in industry. His teaching and research interests are in collaborative/human-centric, consumer-oriented product design and development, knowledge engineering, design sciences, engineering informatics, and artificial intelligence in product/engineering design. He has more than 280 publications in these areas.
Affiliations and expertise
School of Mechanical and Aerospace Engineering of Nanyang Technological University, SingaporeRead Digital Manufacturing on ScienceDirect