| From the Cyber-Physical System to the Digital Twin: the process development for behaviour modelling of a Cyber Guided Vehicle in M2M logic E Bottani, A Cammardella, T Murino, S Vespoli XXII Summer School “Francesco Turco” – Industrial Systems Engineering, 2017 | 89 | 2017 |
| A semi-heterarchical production control architecture for industry 4.0-based manufacturing systems A Grassi, G Guizzi, LC Santillo, S Vespoli Manufacturing Letters 24, 43-46, 2020 | 62 | 2020 |
| Assessing the performances of a novel decentralised scheduling approach in Industry 4.0 and cloud manufacturing contexts A Grassi, G Guizzi, LC Santillo, S Vespoli International Journal of Production Research 59 (20), 6034-6053, 2021 | 48 | 2021 |
| On the open job-shop scheduling problem: A decentralized multi-agent approach for the manufacturing system performance optimization G Guizzi, R Revetria, G Vanacore, S Vespoli Procedia Cirp 79, 192-197, 2019 | 37 | 2019 |
| Evaluating the advantages of a novel decentralised scheduling approach in the Industry 4.0 and Cloud Manufacturing era S Vespoli, A Grassi, G Guizzi, LC Santillo IFAC-PapersOnLine 52 (13), 2170-2176, 2019 | 34 | 2019 |
| On the architecture scheduling problem of Industry 4.0 G Guizzi, S Vespoli, S Santini Proceedings of the 3rd INCOSE Italia Conference on Systems Engineering 2010 …, 2017 | 29 | 2017 |
| Predicting failure probability in Industry 4.0 production systems: A workload-based prognostic model for maintenance planning G Converso, M Gallo, T Murino, S Vespoli Applied Sciences 13 (3), 1938, 2023 | 22 | 2023 |
| Dynamic scheduling in a flow shop using deep reinforcement learning MG Marchesano, G Guizzi, LC Santillo, S Vespoli Advances in Production Management Systems. Artificial Intelligence for …, 2021 | 14 | 2021 |
| Simulation-based performance assessment of a new job-shop dispatching rule for the semi-heterarchical industry 4.0 architecture G Guizzi, S Vespoli, A Grassi, LC Santillo 2020 Winter Simulation Conference (WSC), 1664-1675, 2020 | 14 | 2020 |
| The manufacturing planning and control system: A journey towards the new perspectives in industry 4.0 architectures A Grassi, G Guizzi, LC Santillo, S Vespoli Scheduling in Industry 4.0 and Cloud Manufacturing, 193-216, 2020 | 14 | 2020 |
| A novel throughput control algorithm for semi-heterarchical industry 4.0 architecture S Vespoli, G Guizzi, E Gebennini, A Grassi Annals of Operations Research, 1-21, 2022 | 10 | 2022 |
| Battery Swapping Station Service in a Smart Microgrid: A Multi-Method Simulation Performance Analysis MG Marchesano, G Guizzi, S Vespoli, G Ferruzzi Energies 16 (18), 6576, 2023 | 7 | 2023 |
| A genetic-algorithm-based approach for optimizing tool utilization and makespan in FMS scheduling A Grassi, G Guizzi, V Popolo, S Vespoli Journal of Manufacturing and Materials Processing 7 (2), 75, 2023 | 7 | 2023 |
| A deep reinforcement learning approach for the throughput control of a flow-shop production system MG Marchesano, G Guizzi, LC Santillo, S Vespoli IFAC-PapersOnLine 54 (1), 61-66, 2021 | 7 | 2021 |
| Measuring worker’s performance in augmented reality-assisted Industry 4.0 procedures F Bonavolontá, D Dallet, E Erra, A Grassi, V Popolo, A Tedesco, S Vespoli 2020 IEEE International Instrumentation and Measurement Technology …, 2020 | 6 | 2020 |
| Man-CPS interaction: An experimental assessment of the human behavior evolution C Assunta, G Guido, V Silvestro, V Giusy IEEE 3° Research and Technologies for Society and Industry, 1-6, 2017 | 6 | 2017 |
| A Deep Learning Algorithm for the Throughput Estimation of a CONWIP Line S Vespoli, A Grassi, G Guizzi, V Popolo Advances in Production Management Systems. Artificial Intelligence for …, 2021 | 5 | 2021 |
| On the modelling of a decentralized production control system in the Industry 4.0 environment A Grassi, G Guizzi, LC Santillo, S Vespoli IFAC-PapersOnLine 53 (2), 10714-10719, 2020 | 5 | 2020 |
| A systemic analysis of the impacts of Product 4.0 on the triple bottom-line of Sustainability V Popolo, S Vespoli, M Gallo, A Grassi IFAC-PapersOnLine 55 (10), 1110-1115, 2022 | 4 | 2022 |
| Towards the application of machine learning in digital twin technology: a multi-scale review L Nele, G Mattera, EW Yap, M Vozza, S Vespoli Discover Applied Sciences 6 (10), 502, 2024 | 3 | 2024 |
Eleonora BottaniFull professor at the Department on Industrial Engineering - University of Parma (Italy)Bestätigte E-Mail-Adresse bei unipr.it
