Digital Twin Driven Smart Manufacturing

Author:   Fei Tao (Professor, School of Automation Science and Electrical Engineering, Beihang University, China) ,  Meng Zhang (PhD student, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China) ,  A.Y.C. Nee (Professor of Manufacturing Engineering, National University of SIngapore, Singapore)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780128176306


Pages:   282
Publication Date:   12 February 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Digital Twin Driven Smart Manufacturing


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Author:   Fei Tao (Professor, School of Automation Science and Electrical Engineering, Beihang University, China) ,  Meng Zhang (PhD student, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China) ,  A.Y.C. Nee (Professor of Manufacturing Engineering, National University of SIngapore, Singapore)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.480kg
ISBN:  

9780128176306


ISBN 10:   012817630
Pages:   282
Publication Date:   12 February 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Background and Concept of Digital Twin 2. Applications of Digital Twin 3. Digital Twin Modeling and Its Key Technologies 4. Digital Twin Shop-floor (DTS) 5. Equipment Energy Consumption Management in Digital Twin Shop-floor 6. Cyber-Physical Fusion in Digital Twin Shop-floor 7. Digital Twin Driven Prognostics and Health Management (PHM) 8. Digital Twin and Cloud, Fog, Edge Computing 9. Digital Twin and Big Data 10. Digital Twin and Services 11. Digital Twin and Virtual Reality, Augmented Reality and Mixed Reality 12. Digital Twin and Internet of Things

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Author Information

Fei Tao is a Professor at the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research interests are service-oriented smart manufacturing, manufacturing service management and optimization, digital twin driven product design/manufacturing/service, green and sustainable manufacturing. Meng Zhang is a PhDd student at the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. Her research is focused on digital twin technology in manufacturing and sustainable manufacturing. A.Y.C. Nee is Professor Emeritus in Manufacturing Engineering at the National University of Singapore. His research interests include the use of AI, virtual and augmented reality applications in manufacturing, sustainable product design and life cycle engineering, and computer aided manufacturing design. He is Fellow of CIRP, Fellow of SME and Fellow of the Academy of Engineering Singapore.

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