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 | 57 | 2018 |
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 | 39 | 2022 |
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 | 30 | 2019 |
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 | 6 | 2022 |
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 | 5 | 2021 |
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 | 3 | 2018 |
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 |