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Davide D'Amico
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Design of Self-assessment Tools to measure industry 4.0 readiness. A methodological approach for craftsmanship SMEs
R Brozzi, RD D’amico, G Pasetti Monizza, C Marcher, M Riedl, D Matt
Product Lifecycle Management to Support Industry 4.0: 15th IFIP WG 5.1 …, 2018
572018
Cognitive digital twin: An approach to improve the maintenance management
RD D’Amico, J Ahmet, SA Erkoyuncu, S Penver
CIRP Journal of Manufacturing Science and Technology 38, 613-630, 2022
392022
Conceptual framework of a digital twin to evaluate the degradation status of complex engineering systems
D D’Amico, J Ekoyuncu, S Addepalli, C Smith, E Keedwell, J Sibson, ...
Procedia CIRP 86, 61-67, 2019
302019
Detecting failure of a material handling system through a cognitive twin
RD D'Amico, A Sarkar, H Karray, S Addepalli, JA Erkoyuncu
IFAC-PapersOnLine 55 (10), 2725-2730, 2022
62022
Is a top level ontology based digital twin the solution to human-machine interoperability?
RD D’Amico, P Addepalli, JA Erkoyuncu
Proceedings of the The 10th International Conference on Through-Life …, 2021
52021
Communication Concept of DeConSim: A Decentralized Control Simulator for Production Systems
RD D’Amico, G Egger, A Giusti, E Rauch, M Riedl, DT Matt
Procedia Manufacturing 24, 100-106, 2018
32018
Industrial Insights on Digital Twins in Manufacturing: Application Landscape, Current Practices, and Future Needs
RD D’Amico, S Addepalli, JA Erkoyuncu
Big Data and Cognitive Computing 7 (3), 126, 2023
2023
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