Digital Twin Driven Service
Author:   Fei Tao (Professor, School of Automation Science and Electrical Engineering, Beihang University, China) ,  Qinling Qi ,  A.Y.C. Nee (Professor of Manufacturing Engineering, National University of SIngapore, Singapore)
Publisher:   Elsevier Science & Technology
ISBN:  

9780323913003


Pages:   300
Publication Date:   01 January 2022
Format:   Paperback
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Digital Twin Driven Service


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Author:   Fei Tao (Professor, School of Automation Science and Electrical Engineering, Beihang University, China) ,  Qinling Qi ,  A.Y.C. Nee (Professor of Manufacturing Engineering, National University of SIngapore, Singapore)
Publisher:   Elsevier Science & Technology
Imprint:   Academic Press Inc
ISBN:  

9780323913003


ISBN 10:   0323913008
Pages:   300
Publication Date:   01 January 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

1. From Service to Digital Twin Service 2. Digital Twin Driven Complex Product Service 3. Digital Twin-Enhanced Product Family Design and Optimization Service 4. Digital Twin Driven Fault Diagnosis Service 5. Digital Twin Driven Energy Efficient Assessment Service 6. Digital Twin Driven Cutting Tool Service 7. Digital Twin Driven PHM for Key Coal Mine Equipment 8. Digital Twin Enhanced Tribological Testing Service 9. Digital Twin Standard Service

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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. 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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