Digital Transformation : Core Technologies and Emerging Topics from a Computer Science Perspective image

Digital Transformation : Core Technologies and Emerging Topics from a Computer Science Perspective

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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

    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

    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

    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
       

    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



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