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Digital twin driven smart manufacturing /

Digital Twin Driven Smart Manufacturing examines the background, latest research, and application models for digital twin technology, and shows how it can be central to a smart manufacturing process. The interest in digital twin in manufacturing is driven by a need for excellent product reliability,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Tao, Fei (Autor), Zhang, Meng (Autor), Nee, A. Y. C. (Andrew Yeh Chris), 1948- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Academic Press, [2019]
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Tao, Fei,  |e author. 
245 1 0 |a Digital twin driven smart manufacturing /  |c Fei Tao, Meng Zhang, A.Y.C. Nee. 
264 1 |a London :  |b Academic Press,  |c [2019] 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 |a Front Cover; Digital Twin Driven Smart Manufacturing; Copyright Page; Contents; Preface; 1 Background and Connotation; 1 Background and Concept of Digital Twin; 1.1 Background of the Development of Digital Twin; 1.2 History of Digital Twin; 1.3 Concept of Digital Twin; 1.3.1 Theoretical Definition of Digital Twin; 1.3.2 Digital Twin in the Views of Enterprises; 1.3.3 Cores of Digital Twin: Models, Data, Connections, and Services; 1.4 Digital Twin and Related Concepts; 1.4.1 Digital Twin and Physical/Virtual Space; 1.4.2 Digital Twin and Virtual Prototype; 1.4.3 Digital Twin and PLM 
505 8 |a 1.4.4 Digital Twin and Digital Asset/Enterprise/Industry1.4.5 Digital Twin and Digital Thread; 1.4.6 Digital Twin and Digital Shadow; 1.5 Value of Digital Twin; 1.5.1 Increasing Visibility; 1.5.2 Reducing Time to Market; 1.5.3 Keeping Optimal Operation; 1.5.4 Reducing Energy Consumption; 1.5.5 Reducing Maintenance Cost; 1.5.6 Increasing User Engagement; 1.5.7 Fusing Information Technologies; 1.6 Summary; References; 2 Applications of Digital Twin; 2.1 Digital Twin in Product Lifecycle; 2.1.1 Digital Twin in Design Stage; 2.1.2 Digital Twin in Production Stage 
505 8 |a 2.1.3 Digital Twin in Service Stage2.1.4 Digital Twin Across Multiple Stages; 2.1.5 Observations; 2.1.5.1 Production and PHM Are the Most Popular Applied Fields for the DT; 2.1.5.2 DT Has Attracted the Most Attention in the United States, China, and Europe; 2.2 Digital Twin in Industrial Applications; 2.2.1 Digital Twin in Aerospace; 2.2.2 Digital Twin in Electric Power Generation; 2.2.3 Digital Twin in Automotive; 2.2.4 Digital Twin in Oil and Gas; 2.2.5 Digital Twin in Healthcare and Medicine; 2.2.6 Digital Twin in Maritime/Shipping; 2.2.7 Digital Twin in City Management 
505 8 |a 2.2.8 Digital Twin in Agriculture2.2.9 Digital Twin in Construction; 2.2.10 Digital Twin in Environmental Protection; 2.2.11 Digital Twin in Security and Emergency; 2.2.12 Observations; 2.3 Future Market for Digital Twin; 2.4 Challenges of Digital Twin Applications; 2.4.1 Cognitive and Technical Level of People; 2.4.2 Technology and Infrastructure; 2.4.3 Support Tools; 2.4.4 Standards and Specifications; 2.4.5 Cost Control and Management; 2.4.6 Cyber Security and Intellectual Property Rights; 2.4.7 Insufficient Development of Digital Twin; 2.5 Summary; References 
505 8 |a 3 Five-Dimension Digital Twin Modeling and Its Key Technologies3.1 Traditional Three-Dimension Digital Twin; 3.1.1 Three-Dimension Digital Twin; 3.1.2 Existing Works on Digital Twin Modeling; 3.2 New Requirements on Digital Twin; 3.2.1 From Application Aspect: Requiring Wider Application; 3.2.2 From Technology Aspect: Requiring to Embrace New IT; 3.2.3 From Modeling Object Aspect: Requiring Data and Services; 3.2.4 From Modeling Method Aspect: Requiring High-Fidelity Virtual Modeling; 3.3 Extended Five-Dimension Digital Twin; 3.3.1 Five-Dimension Digital Twin; 3.3.2 Physical Entity 
520 |a Digital Twin Driven Smart Manufacturing examines the background, latest research, and application models for digital twin technology, and shows how it can be central to a smart manufacturing process. The interest in digital twin in manufacturing is driven by a need for excellent product reliability, and an overall trend towards intelligent, and connected manufacturing systems. This book provides an ideal entry point to this subject for readers in industry and academia, as it answers the questions: (a) What is a digital twin? (b) How to construct a digital twin? (c) How to use a digital twin to improve manufacturing efficiency? (d) What are the essential activities in the implementation of a digital twin? (e) What are the most important obstacles to overcome for the successful deployment of a digital twin? (f) What are the relations between digital twin and New Technologies? (g) How to combine digital twin with the New Technologies to achieve high efficiency and smartness in manufacturing? This book focuses on these problems as it aims to help readers make the best use of digital twin technology towards smart manufacturing. 
545 |a 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 PhD 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. 
588 0 |a Online resource; title from PDF title page (EBSCO, viewed February 11, 2019). 
650 0 |a Manufacturing processes  |x Automation. 
650 0 |a Manufacturing industries  |x Technological innovations. 
650 0 |a Virtual computer systems. 
650 0 |a Production engineering. 
650 6 |a Fabrication  |x Automatisation.  |0 (CaQQLa)201-0205771 
650 6 |a Industrie manufacturi�ere  |0 (CaQQLa)201-0063190  |x Innovations.  |0 (CaQQLa)201-0379286 
650 6 |a Syst�emes virtuels (Informatique)  |0 (CaQQLa)201-0029701 
650 6 |a Technique de la production.  |0 (CaQQLa)201-0030177 
650 7 |a TECHNOLOGY & ENGINEERING  |x Industrial Engineering.  |2 bisacsh 
650 7 |a TECHNOLOGY & ENGINEERING  |x Industrial Technology.  |2 bisacsh 
650 7 |a TECHNOLOGY & ENGINEERING  |x Manufacturing.  |2 bisacsh 
650 7 |a TECHNOLOGY & ENGINEERING  |x Technical & Manufacturing Industries & Trades.  |2 bisacsh 
650 7 |a Manufacturing industries  |x Technological innovations  |2 fast  |0 (OCoLC)fst01008133 
650 7 |a Manufacturing processes  |x Automation  |2 fast  |0 (OCoLC)fst01008141 
650 7 |a Production engineering  |2 fast  |0 (OCoLC)fst01078282 
650 7 |a Virtual computer systems  |2 fast  |0 (OCoLC)fst01167683 
700 1 |a Zhang, Meng,  |e author. 
700 1 |a Nee, A. Y. C.  |q (Andrew Yeh Chris),  |d 1948-  |e author. 
776 0 8 |i Print version:  |z 012817630X  |z 9780128176306  |w (OCoLC)1044835475 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780128176306  |z Texto completo