rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Digital twin driven smart manufacturing
  name:
    name part: Tao, Fei
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Zhang, Meng
    role:
      role term: author.
  name:
    name part: Nee, A. Y. C. (Andrew Yeh Chris)
    name part: 1948-
    role:
      role term: author.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2019
    copyright date: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  table of contents: 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
  table of contents: 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
  table of contents: 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
  table of contents: 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
  table of contents: 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
  note: Fei Tao, Meng Zhang, A.Y.C. Nee.
  note: Electronic resource.
  note: Includes bibliographical references and index.
  note: 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.
  subject:
    topic: Manufacturing processes
    topic: Automation
  subject:
    topic: Manufacturing industries
    topic: Technological innovations
  subject:
    topic: Virtual computer systems
  subject:
    topic: Production engineering
  classification: PS183 .T36 2019
  classification: 670.4
  identifier: 9780128176313
  identifier: 0128176318
  identifier: 9780128176306
  identifier: 012817630X
  identifier: 9780128176313 Ingram Content Group
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: NhCcYBP
    record creation date: 190208
    record change date: 20230619015215.7
    record identifier: in00004375064