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,...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Academic Press
[2019]
|
| Schlagworte: | |
| Online-Zugang: | DE-92 DE-860 Volltext Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (xi, 269 Seiten) |
| ISBN: | 9780128176313 0128176318 |
| DOI: | 10.1016/C2018-0-02206-9 |
Internformat
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| 520 | 3 | |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 | |
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Datensatz im Suchindex
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| author | Tao, Fei Zhang, Meng Nee, Andrew Y. C. 1948- |
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| author_role | aut aut aut |
| author_sort | Tao, Fei |
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| building | Verbundindex |
| bvnumber | BV046752951 |
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| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 670 - Manufacturing |
| dewey-raw | 670.427 670.4 |
| dewey-search | 670.427 670.4 |
| dewey-sort | 3670.427 |
| dewey-tens | 670 - Manufacturing |
| discipline | Werkstoffwissenschaften / Fertigungstechnik Wirtschaftswissenschaften |
| discipline_str_mv | Werkstoffwissenschaften / Fertigungstechnik Wirtschaftswissenschaften |
| doi_str_mv | 10.1016/C2018-0-02206-9 |
| format | Electronic eBook |
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| id | DE-604.BV046752951 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T14:42:32Z |
| indexdate | 2024-08-02T00:11:17Z |
| institution | BVB |
| isbn | 9780128176313 0128176318 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032162635 |
| oclc_num | 1164623700 |
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| owner_facet | DE-860 DE-92 |
| physical | 1 Online-Ressource (xi, 269 Seiten) |
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| publishDate | 2019 |
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| publisher | Academic Press |
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| spelling | Tao, Fei Verfasser (DE-588)134259556 aut Digital twin driven smart manufacturing Fei Tao (School of Automation Science and Electrical Engineering, Beihang University, China), Meng Zhang (School of Automation Science and Electrical Engineering, Beihang University, China), A.Y.C. Nee (Department of Mechanical Engineering, National University of Singapore, Singapore) London Academic Press [2019] © 2019 1 Online-Ressource (xi, 269 Seiten) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index 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 Industrie 4.0 (DE-588)1072179776 gnd rswk-swf Digitalisierung (DE-588)4123065-6 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Virtual computer systems Production engineering Manufacturing processes / Automation Manufacturing industries / Technological innovations Big Data (DE-588)4802620-7 s Digitalisierung (DE-588)4123065-6 s Industrie 4.0 (DE-588)1072179776 s DE-604 Zhang, Meng Verfasser (DE-588)1183396333 aut Nee, Andrew Y. C. 1948- Verfasser (DE-588)121109054 aut Erscheint auch als Druck-Ausgabe 978-0-12-817630-6 (DE-604)BV046248580 https://doi.org/10.1016/C2018-0-02206-9 Verlag Volltext X:ELSEVIER https://www.sciencedirect.com/science/book/9780128176306 Verlag Volltext |
| spellingShingle | Tao, Fei Zhang, Meng Nee, Andrew Y. C. 1948- Digital twin driven smart manufacturing Industrie 4.0 (DE-588)1072179776 gnd Digitalisierung (DE-588)4123065-6 gnd Big Data (DE-588)4802620-7 gnd |
| subject_GND | (DE-588)1072179776 (DE-588)4123065-6 (DE-588)4802620-7 |
| title | Digital twin driven smart manufacturing |
| title_auth | Digital twin driven smart manufacturing |
| title_exact_search | Digital twin driven smart manufacturing |
| title_exact_search_txtP | Digital twin driven smart manufacturing |
| title_full | Digital twin driven smart manufacturing Fei Tao (School of Automation Science and Electrical Engineering, Beihang University, China), Meng Zhang (School of Automation Science and Electrical Engineering, Beihang University, China), A.Y.C. Nee (Department of Mechanical Engineering, National University of Singapore, Singapore) |
| title_fullStr | Digital twin driven smart manufacturing Fei Tao (School of Automation Science and Electrical Engineering, Beihang University, China), Meng Zhang (School of Automation Science and Electrical Engineering, Beihang University, China), A.Y.C. Nee (Department of Mechanical Engineering, National University of Singapore, Singapore) |
| title_full_unstemmed | Digital twin driven smart manufacturing Fei Tao (School of Automation Science and Electrical Engineering, Beihang University, China), Meng Zhang (School of Automation Science and Electrical Engineering, Beihang University, China), A.Y.C. Nee (Department of Mechanical Engineering, National University of Singapore, Singapore) |
| title_short | Digital twin driven smart manufacturing |
| title_sort | digital twin driven smart manufacturing |
| topic | Industrie 4.0 (DE-588)1072179776 gnd Digitalisierung (DE-588)4123065-6 gnd Big Data (DE-588)4802620-7 gnd |
| topic_facet | Industrie 4.0 Digitalisierung Big Data |
| url | https://doi.org/10.1016/C2018-0-02206-9 https://www.sciencedirect.com/science/book/9780128176306 |
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