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ABOUT THE BOOK

Digital Transformation in Industry 4.0/5.0 requires the effective and efficient application of digitalization technologies in the area of production systems. This book elaborates on concepts, techniques, and technologies from computer science in the context of Industry 4.0/5.0 and demonstrates their possible applications. Thus, the book serves as an orientation but also as a reference work for experts in the field of Industry 4.0/5.0 to successfully advance digitization in their companies.

TABLE OF CONTENTS

1. Digital Representation

   1. Front Matter

      Pages 1-1

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   2. Engineering Digital Twins and Digital Shadows as Key Enablers for Industry 4.0

      • Stefan Braun, Manuela Dalibor, Nico Jansen, Matthias Jarke, István Koren, Christoph Quix et al.

      Pages 3-31

   3. Designing Strongly-decoupled Industry 4.0 Applications Across the Stack: A Use Case

      • Christoph Mayr-Dorn, Alois Zoitl, Georg Weichhart, Michael Mayrhofer, Alexander Egyed

      Pages 33-64

   4. Variability in Products and Production

      • Alexander Egyed, Paul Grünbacher, Lukas Linsbauer, Herbert Prähofer, Ina Schaefer

      Pages 65-91

2. Digital Infrastructures

   1. Front Matter

      Pages 93-93

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   2. Reference Architectures for Closing the IT/OT Gap

      • Patrick Denzler, Wolfgang Kastner

      Pages 95-123

   3. Edge Computing: Use Cases and Research Challenges

      • Cosmin Avasalcai, Schahram Dustdar

      Pages 125-142

   4. Dynamic Access Control in Industry 4.0 Systems

      • Robert Heinrich, Stephan Seifermann, Maximilian Walter, Sebastian Hahner, Ralf Reussner, Tomáš Bureš et al.

      Pages 143-170

   5. Challenges in OT Security and Their Impacts on Safety-Related Cyber-Physical Production Systems

      • Siegfried Hollerer, Bernhard Brenner, Pushparaj Rajaram Bhosale, Clara Fischer, Ali Mohammad Hosseini, Sofia Maragkou et al.

      Pages 171-202

   6. Runtime Monitoring for Systems of System

      • Michael Vierhauser, Alexander Egyed

      Pages 203-222

   7. Blockchain Technologies in the Design and Operation of Cyber-Physical Systems

      • Abel Gómez, Christophe Joubert, Jordi Cabot

      Pages 223-243

3. Data Management

   1. Front Matter

      Pages 245-245

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   2. Big Data Integration for Industry 4.0

      • Daniel Obraczka, Alieh Saeedi, Victor Christen, Erhard Rahm

      Pages 247-268

   3. Massive Data Sets – Is Data Quality Still an Issue?

      • Peter Filzmoser, Alexandra Mazak-Huemer

      Pages 269-279

   4. Modelling the Top Floor: Internal and External Data Integration and Exchange

      • Bernhard Wally, Christian Huemer, Birgit Vogel-Heuser

      Pages 281-307

4. Data Analytics

   1. Front Matter

      Pages 309-309

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   2. Conceptualizing Analytics: An Overview of Business Intelligence and Analytics from a Conceptual-Modeling Perspective

      • Christoph G. Schuetz, Michael Schrefl

      Pages 311-336

   3. Discovering Actionable Knowledge for Industry 4.0: From Data Mining to Predictive and Prescriptive Analytics

      • Christoph G. Schuetz, Matt Selway, Stefan Thalmann, Michael Schrefl

      Pages 337-362

   4. Process Mining—Discovery, Conformance, and Enhancement of Manufacturing Processes

      • Stefanie Rinderle-Ma, Florian Stertz, Juergen Mangler, Florian Pauker

      Pages 363-383