Tamás Ruppert
Zitiert von
Zitiert von
Enabling technologies for operator 4.0: A survey
T Ruppert, S Jaskó, T Holczinger, J Abonyi
Applied sciences 8 (9), 1650, 2018
Integration of real-time locating systems into digital twins
T Ruppert, J Abonyi
Journal of industrial information integration 20, 100174, 2020
Real-time locating system in production management
A Rácz-Szabó, T Ruppert, L Bántay, A Löcklin, L Jakab, J Abonyi
Sensors 20 (23), 6766, 2020
Software sensor for activity-time monitoring and fault detection in production lines
T Ruppert, J Abonyi
Sensors 18 (7), 2346, 2018
Current development on the Operator 4.0 and transition towards the Operator 5.0: A systematic literature review in light of Industry 5.0
B Gladysz, T Tran, D Romero, T van Erp, J Abonyi, T Ruppert
Journal of Manufacturing Systems 70, 160-185, 2023
Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions
TA Tran, T Ruppert, G Eigner, J Abonyi
IEEE Access 10, 64348-64374, 2022
Industrial internet of things based cycle time control of assembly lines
T Ruppert, J Abonyi
2018 IEEE International Conference on Future IoT Technologies (Future IoT), 1-4, 2018
Data-driven business process management-based development of Industry 4.0 solutions
T Czvetkó, A Kummer, T Ruppert, J Abonyi
CIRP Journal of Manufacturing Science and Technology 36, 117-132, 2022
Architecture of a human-digital twin as common interface for operator 4.0 applications
A Löcklin, T Jung, N Jazdi, T Ruppert, M Weyrich
Procedia CIRP 104, 458-463, 2021
Indoor positioning systems can revolutionise digital lean
TA Tran, T Ruppert, J Abonyi
Applied Sciences 11 (11), 5291, 2021
Trajectory prediction of humans in factories and warehouses with real-time locating systems
A Löcklin, T Ruppert, L Jakab, R Libert, N Jazdi, M Weyrich
2020 25th IEEE International Conference on Emerging Technologies and Factory …, 2020
Estimation of machine setup and changeover times by survival analysis
T Ruppert, R Csalodi, J Abonyi
Computers & Industrial Engineering 153, 107026, 2021
Data administration shell for data-science-driven development
A Löcklin, H Vietz, D White, T Ruppert, N Jazdi, M Weyrich
Procedia CIRP 100, 115-120, 2021
Real-time locating system and digital twin in Lean 4.0
T Tran, T Ruppert, G Eigner, J Abonyi
2021 IEEE 15th International Symposium on Applied Computational Intelligence …, 2021
Fuzzy activity time-based model predictive control of open-station assembly lines
T Ruppert, G Dorgo, J Abonyi
Journal of Manufacturing Systems 54, 12-23, 2020
Multilayer network-based production flow analysis
T Ruppert, G Honti, J Abonyi
Complexity 2018, 2018
Ontology-based analysis of manufacturing processes: lessons learned from the case study of wire harness production
L Nagy, T Ruppert, J Abonyi
Complexity 2021, 1-21, 2021
Analytic hierarchy process and multilayer network-based method for assembly line balancing
L Nagy, T Ruppert, J Abonyi
Applied Sciences 10 (11), 3932, 2020
Demonstration Laboratory of Industry 4.0 Retrofitting and Operator 4.0 Solutions: Education towards Industry 5.0
T Ruppert, A Darányi, T Medvegy, D Csereklei, J Abonyi
Sensors 23 (1), 283, 2022
Hypergraph-based analysis and design of intelligent collaborative manufacturing space
L Nagy, T Ruppert, A Löcklin, J Abonyi
Journal of Manufacturing Systems 65, 88-103, 2022
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20