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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 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	DigiTwin/ edited by Josip Stjepandic, Markus Sommer, Berend Denkena.
Reminder of title:	an approach for production process optimization in a built environment /
other author:	Stjepandic, Josip.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xii, 259 p. :ill., digital ;24 cm.
[NT 15003449]:	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
Subject:	Manufacturing processes - Data processing. -
Online resource:	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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245 0 0 $a DigiTwin $h [electronic resource] : $b an approach for production process optimization in a built environment / $c edited by Josip Stjepandic, Markus Sommer, Berend Denkena.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xii, 259 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer series in advanced manufacturing, $x 2196-1735
505 0 $a 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.
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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650 2 4 $a Engineering Economics, Organization, Logistics, Marketing. $3 891023
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700 1 $a Stjepandic, Josip. $3 2134075
700 1 $a Sommer, Markus. $3 3590049
700 1 $a Denkena, Berend. $3 2055116
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