Digital transformation : core technologies and emerging topics from a computer science perspective / Birgit Vogel-Heuser, Manuel Wimmer, editors.
Vogel-Heuser, Birgit, editor.; Wimmer, Manuel, editor.
2023
TS176
Available Online

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Title Digital transformation : core technologies and emerging topics from a computer science perspective / Birgit Vogel-Heuser, Manuel Wimmer, editors.
ISBN 9783662650042 (electronic bk.)
3662650045 (electronic bk.)
9783662650035
DOI https://doi.org/10.1007/978-3-662-65004-2
Published Berlin : Springer Vieweg, [2023]
Copyright ©2023
Language English
Description 1 online resource (ix, 526 pages) : illustrations (some color)
Other Standard Identifiers 10.1007/978-3-662-65004-2 doi
Call Number TS176
Dewey Decimal Classification 658.5
Summary 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. The editors 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.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed February 7, 2023).
Added Author Vogel-Heuser, Birgit, editor.
Wimmer, Manuel, editor.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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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 Analytics from 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.

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