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Digital Transformation, 2022
- Birgit Vogel-Heuser, Manuel Wimmer:
Digital Transformation - Core Technologies and Emerging Topics from a Computer Science Perspective. Springer 2023, ISBN 978-3-662-65003-5
Digital Representation
- Stefan Braun, Manuela Dalibor, Nico Jansen, Matthias Jarke, István Koren, Christoph Quix, Bernhard Rumpe, Manuel Wimmer, Andreas Wortmann:
Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0. 3-31 - Christoph Mayr-Dorn, Alois Zoitl, Georg Weichhart, Michael Mayrhofer, Alexander Egyed:
Designing Strongly-decoupled Industry 4.0 Applications Across the Stack: A Use Case. 33-64 - Alexander Egyed, Paul Grünbacher, Lukas Linsbauer, Herbert Prähofer, Ina Schaefer:
Variability in Products and Production. 65-91
Digital Infrastructures
- Patrick Denzler, Wolfgang Kastner:
Reference Architectures for Closing the IT/OT Gap. 95-123 - Cosmin Avasalcai, Schahram Dustdar:
Edge Computing: Use Cases and Research Challenges. 125-142 - Robert Heinrich, Stephan Seifermann, Maximilian Walter, Sebastian Hahner, Ralf H. Reussner, Tomás Bures, Petr Hnetynka, Jan Pacovský:
Dynamic Access Control in Industry 4.0 Systems. 143-170 - Siegfried Hollerer, Bernhard Brenner, Pushparaj Rajaram Bhosale, Clara Fischer, Ali Mohammad Hosseini, Sofia Maragkou, Maximilian Papa, Sebastian Schlund, Thilo Sauter, Wolfgang Kastner:
Challenges in OT Security and Their Impacts on Safety-Related Cyber-Physical Production Systems. 171-202 - Michael Vierhauser, Alexander Egyed:
Runtime Monitoring for Systems of System - A Closer Look on Opportunities for Manufacturers in the Context of Industry 4.0. 203-222 - Abel Gómez, Christophe Joubert, Jordi Cabot:
Blockchain Technologies in the Design and Operation of Cyber-Physical Systems. 223-243
Data Management
- Daniel Obraczka, Alieh Saeedi, Victor Christen, Erhard Rahm:
Big Data Integration for Industry 4.0. 247-268 - Peter Filzmoser, Alexandra Mazak-Huemer:
Massive Data Sets - Is Data Quality Still an Issue? 269-279 - Bernhard Wally, Christian Huemer, Birgit Vogel-Heuser:
Modelling the Top Floor: Internal and External Data Integration and Exchange. 281-307
Data Analytics
- Christoph G. Schuetz, Michael Schrefl:
Conceptualizing Analytics: An Overview of Business Intelligence and Analytics from a Conceptual-Modeling Perspective. 311-336 - Christoph G. Schuetz, Matt Selway, Stefan Thalmann, Michael Schrefl:
Discovering Actionable Knowledge for Industry 4.0: From Data Mining to Predictive and Prescriptive Analytics. 337-362 - Stefanie Rinderle-Ma, Florian Stertz, Juergen Mangler, Florian Pauker:
Process Mining - Discovery, Conformance, and Enhancement of Manufacturing Processes. 363-383 - Gerhard Friedrich, Martin Gebser, Erich Christian Teppan:
Symbolic Artificial Intelligence Methods for Prescriptive Analytics. 385-414 - Oliver Niggemann, Bernd Zimmering, Henrik S. Steude, Jan Lukas Augustin, Alexander Windmann, Samim Ahmad Multaheb:
Machine Learning for Cyber-Physical Systems. 415-446 - Tobias Schreck, Belgin Mutlu, Marc Streit:
Visual Data Science for Industrial Applications. 447-471
Digital Transformation towards Industry 5.0
- Enes Yigitbas, Stefan Sauer, Gregor Engels:
Self-Adaptive Digital Assistance Systems for Work 4.0. 475-496 - Burkhard Kehrbusch, Gregor Engels:
Digital Transformation - Towards Flexible Human-Centric Enterprises. 497-526
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