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Max Hoffmann
Max Hoffmann
Doctor of Engineering, Scientific Researcher, Institute of Information Management in Mechanical
Verified email at rwth-aachen.de
Title
Cited by
Cited by
Year
Continuous Integration of Field Level Production Data into Top-level Information Systems Using the OPC Interface Standard
M Hoffmann, C Büscher, T Meisen, S Jeschke
Procedia CIRP 41, 496-501, 2016
552016
Shifting Virtual Reality Education to the Next Level–Experiencing Remote Laboratories through Mixed Reality
M Hoffmann, T Meisen, S Jeschke
Proceedings of the International Conference on Computer Science, Computer …, 2014
392014
Smart Agents for the Industry 4.0
M Hoffmann
Springer: Berlin, Germany, 2019
282019
Semantic integration of multi-agent systems using an OPC UA information modeling approach
M Hoffmann, P Thomas, D Schütz, B Vogel-Heuser, T Meisen, S Jeschke
Industrial Informatics (INDIN), 2016 IEEE 14th International Conference on …, 2016
242016
The Need of Dynamic and Adaptive Data Models for Cyber-Physical Production Systems
C Brecher, C Ecker, W Herfs, M Obdenbusch, S Jeschke, M Hoffmann, ...
Cyber-Physical Systems, 321-338, 2017
212017
Interoperability in smart automation of cyber physical systems
D Schilberg, M Hoffmann, S Schmitz, T Meisen
Industrial Internet of Things: Cybermanufacturing Systems, 261-286, 2017
172017
Bridging the gap between students and laboratory experiments
M Hoffmann, K Schuster, D Schilberg, S Jeschke
Virtual, Augmented and Mixed Reality. Applications of Virtual and Augmented …, 2014
172014
Diving in? how users experience virtual environments using the virtual theatre
K Schuster, M Hoffmann, U Bach, A Richert, S Jeschke
International Conference of Design, User Experience, and Usability, 636-646, 2014
162014
Next-generation teaching and learning using the virtual theatre
M Hoffmann, K Schuster, D Schilberg, S Jeschke
4th Global Conference on Experiential Learning in Virtual Worlds Prague …, 2014
152014
OPC UA based ERP agents: enabling scalable communication solutions in heterogeneous automation environments
M Hoffmann, T Meisen, S Jeschke
Advances in Practical Applications of Cyber-Physical Multi-Agent Systems …, 2017
142017
Towards a flexible process-independent meta-model for production data
S Cramer, M Hoffmann, P Schlegel, M Kemmerling, RH Schmitt
Procedia CIRP 99, 586-591, 2021
132021
Cognition-enhanced, self-optimizing assembly systems
R Schmitt, B Corves, P Loosen, C Brecher, S Jeschke, W Kimmelmann, ...
Integrative Production Technology: Theory and Applications, 877-990, 2017
132017
Optimized Factory Planning and Process Chain Formation Using Virtual Production Intelligence
M Hoffmann, K Kreisköther, C Büscher, T Meisen, A Kampker, D Schilberg, ...
Enabling Manufacturing Competitiveness and Economic Sustainability, 153-158, 2014
132014
An Architecture for Efficient Integration and Harmonization of Heterogeneous, Distributed Data Sources Enabling Big Data Analytics.
A Kirmse, V Kraus, M Hoffmann, T Meisen
ICEIS (1), 175-182, 2018
122018
A framework for semantic integration and analysis of measurement data in modern industrial machinery
T Meisen, M Rix, M Hoffmann, D Schilberg, S Jeschke
Automation, Communication and Cybernetics in Science and Engineering 2015 …, 2016
122016
Adaptive and scalable information modeling to enable autonomous decision making for real-time interoperable factories
M Hoffmann, S Jeschke, B Vogel-Heuser
Integrative Produktionstechnik für Hochlohnländer, 2017
102017
Adaptive and Scalable Information Modeling to Enable Autonomous Decision Making for Real-Time Interoperable Factories
M Hoffmann, S Jeschke, B Vogel-Heuser
Integrative Produktionstechnik für Hochlohnländer, 2017
102017
Multi-dimensional production planning using a vertical data integration approach: A contribution to modular factory design
M Hoffmann, T Meisen, D Schilberg, S Jeschke
Emerging Technologies for a Smarter World (CEWIT), 2013 10th International …, 2013
102013
Industrial Big Data: From Data to Information to Actions.
A Kirmse, F Kuschicke, M Hoffmann
IoTBDS, 137-146, 2019
92019
Value-oriented layout planning using the Virtual Production Intelligence (VPI)
A Kampker, K Kreisköther, P Burggräf, A Meckelnborg, M Krunke, ...
POMS Conference Proceedings, 2013
92013
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