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DigiTwin = an approach for productio...

Stjepandic, Josip.

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DigiTwin = an approach for production process optimization in a built environment /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	DigiTwin/ edited by Josip Stjepandic, Markus Sommer, Berend Denkena.
其他題名:	an approach for production process optimization in a built environment /
其他作者:	Stjepandic, Josip.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xii, 259 p. :ill., digital ;24 cm.
內容註:	Chapter 1. Introduction to the Book -- Chapter 2. Requirements for the Optimization of Processes Using a Digital Twin of Production Systems -- Chapter 3. Digital Twin: A Conceptual View -- Chapter 4. Scan Methods and Tools for Reconstruction of Built Environments as Basis for Digital Twins -- Chapter 5. Machine Learning in Manufacturing in the Era of Industry 4.0 -- Chapter 6. Object Recognition Methods in a Built Environment -- Chapter 7. Data Quality Management for Interoperability -- Chapter 8. Object Recognition Findings in a Built Environment -- Chapter 9. Design of Simulation Models -- Chapter 10. The Commercialization of Digital Twin by an Extension of a Business Eco-system -- Chapter 11. Digital Twin: Conclusion and Future Perspectives.
Contained By:	Springer Nature eBook
標題:	Manufacturing processes - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-030-77539-1
ISBN:	9783030775391

DigiTwin = an approach for production process optimization in a built environment /
DigiTwinan approach for production process optimization in a built environment /[electronic resource] :edited by Josip Stjepandic, Markus Sommer, Berend Denkena. - Cham :Springer International Publishing :2022. - xii, 259 p. :ill., digital ;24 cm. - Springer series in advanced manufacturing,2196-1735. - Springer series in advanced manufacturing..

Chapter 1. Introduction to the Book -- Chapter 2. Requirements for the Optimization of Processes Using a Digital Twin of Production Systems -- Chapter 3. Digital Twin: A Conceptual View -- Chapter 4. Scan Methods and Tools for Reconstruction of Built Environments as Basis for Digital Twins -- Chapter 5. Machine Learning in Manufacturing in the Era of Industry 4.0 -- Chapter 6. Object Recognition Methods in a Built Environment -- Chapter 7. Data Quality Management for Interoperability -- Chapter 8. Object Recognition Findings in a Built Environment -- Chapter 9. Design of Simulation Models -- Chapter 10. The Commercialization of Digital Twin by an Extension of a Business Eco-system -- Chapter 11. Digital Twin: Conclusion and Future Perspectives.

The focus of this book is an application of Digital Twin as a concept and an approach, based on the most accurate view on a physical production system and its digital representation of complex engineering products and systems. It describes a methodology to create and use Digital Twin in a built environment for the improvement and optimization of factory processes such as factory planning, investment planning, bottleneck analysis, and in-house material transport. The book provides a practical response based on achievements of engineering informatics in solving challenges related to the optimization of factory layout and corresponding processes. This book introduces the topic, providing a foundation of knowledge on process planning, before discussing the acquisition of objects in a factory and the methods for object recognition. It presents process simulation techniques, explores challenges in process planning, and concludes by looking at future areas of progression. By providing a holistic, trans-disciplinary perspective, this book will showcase Digital Twin technology as state-of-the-art both in research and practice.

ISBN: 9783030775391

Standard No.: 10.1007/978-3-030-77539-1doiSubjects--Topical Terms:

654415
Manufacturing processes
--Data processing.

LC Class. No.: TS183 / .D54 2022

Dewey Class. No.: 670.285

DigiTwin = an approach for production process optimization in a built environment /
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520 $a The focus of this book is an application of Digital Twin as a concept and an approach, based on the most accurate view on a physical production system and its digital representation of complex engineering products and systems. It describes a methodology to create and use Digital Twin in a built environment for the improvement and optimization of factory processes such as factory planning, investment planning, bottleneck analysis, and in-house material transport. The book provides a practical response based on achievements of engineering informatics in solving challenges related to the optimization of factory layout and corresponding processes. This book introduces the topic, providing a foundation of knowledge on process planning, before discussing the acquisition of objects in a factory and the methods for object recognition. It presents process simulation techniques, explores challenges in process planning, and concludes by looking at future areas of progression. By providing a holistic, trans-disciplinary perspective, this book will showcase Digital Twin technology as state-of-the-art both in research and practice.
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