| Machine learning framework for predictive maintenance in milling E Traini, G Bruno, G D’antonio, F Lombardi IFAC-PapersOnLine 52 (13), 177-182, 2019 | 87 | 2019 |
| Tool condition monitoring framework for predictive maintenance: a case study on milling process E Traini, G Bruno, F Lombardi International Journal of Production Research 59 (23), 7179-7193, 2021 | 45 | 2021 |
| Integration of PLM, MES and ERP systems to optimize the engineering, production and business VS Avvaru, G Bruno, P Chiabert, E Traini IFIP International Conference on Product Lifecycle Management, 70-82, 2020 | 17 | 2020 |
| Development of a key performance indicator framework for automated warehouse systems A Faveto, E Traini, G Bruno, F Lombardi IFAC-PapersOnLine 54 (1), 116-121, 2021 | 15 | 2021 |
| Prediction and estimation model of energy demand of the AMR with cobot for the designed path in automated logistics systems K Aliev, E Traini, M Asranov, A Awouda, P Chiabert Procedia CIRP 99, 116-121, 2021 | 13 | 2021 |
| An open source framework for the storage and reuse of industrial knowledge through the integrationof PLM and MES G Bruno, A Faveto, E Traini Management and Production Engineering Review 11, 2020 | 11 | 2020 |
| An analytical model to estimate AVS/RS energy consumption G D’Antonio, G Bruno, E Traini, F Lombardi IFAC-PapersOnLine 52 (13), 24-29, 2019 | 11 | 2019 |
| A knowledge-based system for collecting and integrating production information G Bruno, E Traini, F Lombardi Collaborative Networks and Digital Transformation: 20th IFIP WG 5.5 Working …, 2019 | 8 | 2019 |
| Integration between PLM and MES for one-of-a-kind production E Traini, G Bruno, A Awouda, P Chiabert, F Lombardi Product Lifecycle Management in the Digital Twin Era: 16th IFIP WG 5.1 …, 2019 | 8 | 2019 |
| Design of a physics-based and data-driven hybrid model for predictive maintenance E Traini, G Bruno, F Lombardi Advances in Production Management Systems. Artificial Intelligence for …, 2021 | 5 | 2021 |
| Data-driven framework for electrode wear prediction in resistance spot welding L Panza, G Bruno, M De Maddis, F Lombardi, PR Spena, E Traini IFIP International Conference on Product Lifecycle Management, 239-252, 2021 | 4 | 2021 |
| Design and simulation of a battery swapping system for electric vehicles E Traini, F Alberto, G Bruno, F Lombardi 2020 25th IEEE International Conference on Emerging Technologies and Factory …, 2020 | 3 | 2020 |
| General methodology for the generation and dissemination of manufacturing knowledge: a case study with the Double Diamond AM Knowledge Approach F Serio, E Traini, J Barret, F Parisot, P Chiabert, F Segonds IFIP International Conference on Product Lifecycle Management, 25-34, 2022 | 2 | 2022 |
| Open-Source IoT Lab for Fully Remote Teaching E Traini, A Awouda, M Asranov, P Chiabert IFIP International Conference on Product Lifecycle Management, 353-368, 2021 | 2 | 2021 |
| Building a Factory Knowledge Base: Digitalization and Integration of Manufacturing Information G Bruno, E Traini, A Faveto, F Lombardi Driving Innovation and Productivity Through Sustainable Automation, 50-75, 2021 | 2 | 2021 |
| Hybrid modeling to support the smart manufacturing: concepts, theoretic contributions and real-case applications about Hybrid and Wisdom-based Systems E Traini Politecnico di Torino, 2022 | 1 | 2022 |
| Configuration of a production-integrated AVS/RS through discrete event simulation G Bruno, E Traini, P Chiabert, F Lombardi Titolo volume non avvalorato, 2019 | 1 | 2019 |
| Bloom’s IoT Taxonomy towards an effective Industry 4.0 education: Case study on Open-source IoT laboratory A Awouda, E Traini, M Asranov, P Chiabert Education and Information Technologies, 1-23, 2024 | | 2024 |
| IoT-Based Framework for Digital Twins in the Industry 5.0 Era A Awouda, E Traini, G Bruno, P Chiabert Sensors 24 (2), 594, 2024 | | 2024 |
| Hybrid knowledge based system supporting Digital Twins in the Industry 5.0 E Traini, G Antal, G Bruno, M De Maddis, F Lombardi, L Panza, PR Spena Procedia Computer Science 232, 1471-1480, 2024 | | 2024 |
