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001442173 001__ 1442173
001442173 003__ OCoLC
001442173 005__ 20230310003316.0
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001442173 020__ $$a9783030775391$$q(electronic bk.)
001442173 020__ $$a3030775399$$q(electronic bk.)
001442173 020__ $$z3030775380
001442173 020__ $$z9783030775384
001442173 0247_ $$a10.1007/978-3-030-77539-1$$2doi
001442173 035__ $$aSP(OCoLC)1265085756
001442173 040__ $$aYDX$$beng$$epn$$cYDX$$dGW5XE$$dOCLCO$$dOCLCF$$dN$T$$dOCLCQ$$dOCLCO$$dOCLCQ
001442173 049__ $$aISEA
001442173 050_4 $$aTS183
001442173 08204 $$a670.285$$223
001442173 24500 $$aDigiTwin:$$ban approach for production process optimization in a built environment /$$cJosip Stjepandić, Markus Sommer, Berend Denkena, editors.
001442173 260__ $$aCham, Switzerland :$$bSpringer,$$c[2022]
001442173 300__ $$a1 online resource
001442173 336__ $$atext$$btxt$$2rdacontent
001442173 337__ $$acomputer$$bc$$2rdamedia
001442173 338__ $$aonline resource$$bcr$$2rdacarrier
001442173 4901_ $$aSpringer series in advanced manufacturing,$$x2196-1735
001442173 5050_ $$aChapter 1. Introduction to the Book -- Chapter 2. Requirements for the Optimization of Processes Using a Digital Twin of Production Systems -- Chapter 3. Digital Twin: A Conceptual View -- Chapter 4. Scan Methods and Tools for Reconstruction of Built Environments as Basis for Digital Twins -- Chapter 5. Machine Learning in Manufacturing in the Era of Industry 4.0 -- Chapter 6. Object Recognition Methods in a Built Environment -- Chapter 7. Data Quality Management for Interoperability -- Chapter 8. Object Recognition Findings in a Built Environment -- Chapter 9. Design of Simulation Models -- Chapter 10. The Commercialization of Digital Twin by an Extension of a Business Eco-system -- Chapter 11. Digital Twin: Conclusion and Future Perspectives.
001442173 506__ $$aAccess limited to authorized users.
001442173 520__ $$aThe focus of this book is an application of Digital Twin as a concept and an approach, based on the most accurate view on a physical production system and its digital representation of complex engineering products and systems. It describes a methodology to create and use Digital Twin in a built environment for the improvement and optimization of factory processes such as factory planning, investment planning, bottleneck analysis, and in-house material transport. The book provides a practical response based on achievements of engineering informatics in solving challenges related to the optimization of factory layout and corresponding processes. This book introduces the topic, providing a foundation of knowledge on process planning, before discussing the acquisition of objects in a factory and the methods for object recognition. It presents process simulation techniques, explores challenges in process planning, and concludes by looking at future areas of progression. By providing a holistic, trans-disciplinary perspective, this book will showcase Digital Twin technology as state-of-the-art both in research and practice.
001442173 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 31, 2021).
001442173 650_0 $$aManufacturing processes$$xData processing.
001442173 650_0 $$aProduction management$$xData processing.
001442173 650_6 $$aFabrication$$xInformatique.
001442173 650_6 $$aProduction$$xGestion$$xInformatique.
001442173 655_0 $$aElectronic books.
001442173 7001_ $$aStjepandić, Josip,$$eeditor.
001442173 7001_ $$aSommer, Markus,$$eeditor.
001442173 7001_ $$aDenkena, Berend,$$d1959-$$eeditor.
001442173 77608 $$iPrint version:$$z3030775380$$z9783030775384$$w(OCoLC)1249492429
001442173 830_0 $$aSpringer series in advanced manufacturing,$$x2196-1735
001442173 852__ $$bebk
001442173 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-77539-1$$zOnline Access$$91397441.1
001442173 909CO $$ooai:library.usi.edu:1442173$$pGLOBAL_SET
001442173 980__ $$aBIB
001442173 980__ $$aEBOOK
001442173 982__ $$aEbook
001442173 983__ $$aOnline
001442173 994__ $$a92$$bISE