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
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Preface
- Acknowledgment
- Chapter One. 3D digital factories: Manufacturing centers of the new industrial age
- 1.1. Introduction
- 1.2. Network of 3D digital factories as supply-side microgrids
- 1.3. Conceptual design of a 3D digital factory
- 1.4. Sustainability and the rise of the 3D digital factory
- 1.5. Conclusion
- Chapter Two. Robots in manufacturing: Current technology trends
- 2.1. Introduction
- 2.2. Autonomous mobile robots
- 2.3. Robot perception
- 2.4. Robot operating system (ROS)
- 2.5. Conclusion
- Appendices
- Chapter Three. Robots in manufacturing: Programming, control, and safety standards
- 3.1. Introduction
- 3.2. Simplified robot programming
- 3.3. Robot kinematics, dynamics and control
- 3.4. Safe human–robot interactions for collaborative robots
- 3.5. Conclusion
- Chapter Four. Artificial Intelligence of Things for industrial Visual sensing systems in HP's factories
- 4.1. Introduction
- 4.2. AIoT: fundamentals and applications
- 4.3. Industrial visual sensing systems in HP's factories
- 4.4. Experiences and learned lessons
- 4.5. Summary
- Chapter Five. Edge intelligence: From deep learning's perspective
- 5.1. Introduction
- 5.2. Design and optimization of deep learning models for edge
- 5.3. Edge intelligence benchmarking
- 5.4. Summary
- Chapter Six. Digital twin-based decision support system for planning and scheduling
- 6.1. Introduction
- 6.2. Production planning and scheduling in a smart factory
- 6.3. A digital twin-based decision support system
- 6.4. Case study
- 6.5. Conclusion
- Chapter Seven. Resource allocation for distributed production networks
- 7.1. Introduction
- 7.2. Recent developments of the resource allocation problem
- 7.3. Smart production resource allocation
- 7.4. Case study in manufacturing business for acoustic and telecommunication products
- 7.5. Discussion
- 7.6. Conclusions
- Chapter Eight. Engineering knowledge management and industrial knowledge graph
- 8.1. Introduction
- 8.2. Knowledge in digital manufacturing
- 8.3. Typical processes in engineering knowledge management
- 8.4. Knowledge graph-enabled product/service development in digital manufacturing
- 8.5. Exemplary case studies
- 8.6. Chapter summary
- Chapter Nine. Service-oriented digital manufacturing
- 9.1. Introduction
- 9.2. Basic concepts
- 9.3. Servitization of digital manufacturing resources
- 9.4. Active perception of manufacturing resources
- 9.5. Manufacturing service discovery
- 9.6. Manufacturing service allocation
- 9.7. Case study
- 9.8. Summary
- Chapter Ten. Business models and supply chain strategy for digital manufacturing
- 10.1. Introduction
- 10.2. Business models for the new enterprise
- 10.3. Supply chain strategies
- 10.4. The value proposition of additive manufacturing
- 10.5. Summary
- Chapter Eleven. Security for digital manufacturing
- 11.1. Introduction
- 11.2. Modern IT security
- 11.3. Modern security for digital manufacturing
- 11.4. Staying ahead of emerging threats
- 11.5. Chapter summary
- Chapter Twelve. Accelerating digital transformation in a manufacturing ecosystem: A case study from HP Singapore
- 12.1. Introduction
- 12.2. Five pillars of technology capabilities
- 12.3. Success stories
- 12.4. Global recognition
- 12.5. Guide for transforming into a smart factory
- 12.6. Summary
- Index
- Edition: 1
- Published: December 1, 2023
- Imprint: Elsevier
- No. of pages: 650
- 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