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008			230128s2022 sz | s |||| 0|eng d
020			_a9783030775391
024	7		_a10.1007/978-3-030-77539-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTS183 _b2022 EB
245	0	0	_aDigiTwin: An Approach for Production Process Optimization in a Built Environment _cedited by Josip Stjepandić, Markus Sommer, Berend Denkena
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XII, 259 páginas) _b89 ilustraciones, 34 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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.
988			_aSpringer_Engineering_2022
650		7	_2embne _9163432 _aProcesos de fabricación _xProceso de datos
650		7	_2embne _9150644 _aGestión de la producción
650		7	_2embne _9147541 _aSimulación por ordenador
776	0	8	_iPrinted edition: _z9783030775384
776	0	8	_iPrinted edition: _z9783030775407
776	0	8	_iPrinted edition: _z9783030775414
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-77539-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eIG _zSI