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020 _a9783030775391
024 7 _a10.1007/978-3-030-77539-1
_2doi
040 _aTR-AnTOB
_beng
_erda
_cTR-AnTOB
041 _aeng
050 4 _aTS183
072 7 _aTGP
_2bicssc
072 7 _aTEC020000
_2bisacsh
072 7 _aTGP
_2thema
090 _aTS183EBK
245 1 0 _aDigiTwin: An Approach for Production Process Optimization in a Built Environment
_h[electronic resource] /
_cedited by Josip Stjepandić, Markus Sommer, Berend Denkena.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Series in Advanced Manufacturing,
_x2196-1735
505 0 _aChapter 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 _aThe 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.
650 0 _aManufactures.
650 0 _aProduction management.
650 0 _aIndustrial Management.
650 0 _aComputer-aided engineering.
650 0 _aInternet of things.
650 0 _aCooperating objects (Computer systems).
650 1 4 _aMachines, Tools, Processes.
650 2 4 _aProduction .
650 2 4 _aIndustrial Management.
650 2 4 _aComputer-Aided Engineering (CAD, CAE) and Design.
650 2 4 _aInternet of Things.
650 2 4 _aCyber-Physical Systems.
653 0 _aManufacturing processes -- Data processing
653 0 _aProduction management -- Data processing
700 1 _aStjepandić, Josip.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSommer, Markus.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDenkena, Berend.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
830 0 _aSpringer Series in Advanced Manufacturing,
_x2196-1735
856 4 0 _uhttps://doi.org/10.1007/978-3-030-77539-1
_3Springer eBooks
_zOnline access link to the resource
942 _2lcc
_cEBK