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

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  • Formatas: PDF+DRM
  • Išleidimo metai: 02-Feb-2023
  • Leidėjas: Springer Vieweg
  • Kalba: eng
  • ISBN-13: 9783662650042
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  • Formatas: PDF+DRM
  • Išleidimo metai: 02-Feb-2023
  • Leidėjas: Springer Vieweg
  • Kalba: eng
  • ISBN-13: 9783662650042
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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.



Part I - Digital Representation: Engineering Digital Twins and Digital
Shadows as Key Enablers for Industry 4.0.- Designing Strongly-decoupled
Industry 4.0 applications across the stack: a use case.- Variability in
Products and Production.- Part II - Digital Infrastructures: Reference
Architectures for closing the IT/OT gap.- Edge Computing: Use Cases and
Research Challenges.- Dynamic Access Control in Industry 4.0 Systems.-
Challenges in OT-Security and their Impacts on Safety-related Cyber-Physical
Production Systems.- Runtime Monitoring for Systems of System.- Blockchain
technologies in the design and operation of cyber-physical systems.- Part
III - Data Management: Big Data Integration for Industry 4.0.- Tons of data -
is data quality still an issue?.- Coupling of Top Floor Internal and External
Data Exchange Matters.- Part IV - Data Analytics: Conceptualizing Analytics:
An Overview of Business Intelligence and Analyticsfrom a Conceptual Modeling
Perspective.- Discovering Actionable Knowledge for Industry 4.0: From Data
Mining to Predictive and Prescriptive Analytics.- Process Mining - Discovery,
Conformance, and Enhancement of Manufacturing Processes.- Symbolic artificial
intelligence methods for prescriptive analytics.- Machine Learning for
Cyber-Physical Systems.- Visual Data Science for Industrial
Applications.- Part V - Digital Transformation towards Industry 5.0:
Self-Adaptive Digital Assistance Systems for Work 4.0.- Digital
Transformation - Towards flexible human-centric enterprises.
Professor Dr.-Ing. Birgit Vogel-Heuser is head of the Department of Automation and Information Systems at the Technical University of Munich. Professor Dr. Manuel Wimmer is head of the Institute of Business Informatics - Software Engineering at the Johannes Kepler University Linz.