MARCHESANO, MARIA GRAZIA
MARCHESANO, MARIA GRAZIA
DIPARTIMENTO DI INGEGNERIA CHIMICA, DEI MATERIALI E DELLA PRODUZIONE INDUSTRIALE
A Performance-based dispatching rule for decentralised manufacturing planning and production control system
2021 Marchesano, M. G.; Vespoli, S.; Guizzi, G.; Popolo, V.; Grassi, A.
A deep reinforcement learning approach for the throughput control of a flow-shop production system
2021 Marchesano, M. G.; Guizzi, G.; Santillo, L. C.; Vespoli, S.
Dynamic Scheduling in a Flow Shop Using Deep Reinforcement Learning
2021 Marchesano, M. G.; Guizzi, G.; Santillo, L. C.; Vespoli, S.
Exploiting the Full Potential of I4.0 Technologies for Products EOL Recovery Process
2021 Popolo, V.; Gallo, M.; Grassi, A.; Marchesano, M. G.
Assessment of performance in Industry 4.0 enabled Job-Shop with a due-date based dispatching rule
2022 Salatiello, E.; Guizzi, G.; Marchesano, M. G.; Santillo, L. C.
A Reinforcement Learning approach in Industry 4.0 enabled production system
2022 Marchesano, M. G.; Salatiello, E.; Guizzi, G.; Santillo, L. C.
Integrated Approach for Maintenance Planning and Scheduling in a Flow Shop Using Deep Reinforcement Learning
2023 Marchesano, M. G.; Tortora, E.; Guizzi, G.; Vespoli, S.; Santillo, L. C.
Battery Swapping Station Service in a Smart Microgrid: A Multi-Method Simulation Performance Analysis
2023 Marchesano, MARIA GRAZIA; Guizzi, Guido; Vespoli, Silvestro; Ferruzzi, Gabriella
Assessing maintenance planning and scheduling using Deep Reinforcement Learning
2023 Marchesano, M. G.; Guizzi, G.; Converso, G.; Santillo, L. C.
Adaptive manufacturing control with Deep Reinforcement Learning for dynamic WIP management in industry 4.0
2025 Vespoli, S.; Mattera, G.; Marchesano, M. G.; Nele, L.; Guizzi, G.
Performance Evaluation of Battery Swapping Stations for EVs: A Multi-Method Simulation Approach
2024 Marchesano, MARIA GRAZIA; Popolo, Valentina; Rozhok, Anastasiia; Cavalaglio, Gianluca
Dynamic scheduling of a due date constrained flow shop with Deep Reinforcement Learning
2022 Marchesano, M. G.; Guizzi, G.; Popolo, V.; Converso, G.
Deep Reinforcement Learning Approach for Maintenance Planning in a Flow-Shop Scheduling Problem
2022 Marchesano, M. G.; Staiano, L.; Guizzi, G.; Castellano, D.; Popolo, V.
| Titolo | Tipologia | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|---|
| A Performance-based dispatching rule for decentralised manufacturing planning and production control system | 4.1 Articoli in Atti di convegno | 2021 | Marchesano, M. G.; Vespoli, S.; Guizzi, G.; Popolo, V.; Grassi, A. | |
| A deep reinforcement learning approach for the throughput control of a flow-shop production system | 4.1 Articoli in Atti di convegno | 2021 | Marchesano, M. G.; Guizzi, G.; Santillo, L. C.; Vespoli, S. | |
| Dynamic Scheduling in a Flow Shop Using Deep Reinforcement Learning | 4.1 Articoli in Atti di convegno | 2021 | Marchesano, M. G.; Guizzi, G.; Santillo, L. C.; Vespoli, S. | |
| Exploiting the Full Potential of I4.0 Technologies for Products EOL Recovery Process | 4.1 Articoli in Atti di convegno | 2021 | Popolo, V.; Gallo, M.; Grassi, A.; Marchesano, M. G. | |
| Assessment of performance in Industry 4.0 enabled Job-Shop with a due-date based dispatching rule | 4.1 Articoli in Atti di convegno | 2022 | Salatiello, E.; Guizzi, G.; Marchesano, M. G.; Santillo, L. C. | |
| A Reinforcement Learning approach in Industry 4.0 enabled production system | 4.1 Articoli in Atti di convegno | 2022 | Marchesano, M. G.; Salatiello, E.; Guizzi, G.; Santillo, L. C. | |
| Integrated Approach for Maintenance Planning and Scheduling in a Flow Shop Using Deep Reinforcement Learning | 4.1 Articoli in Atti di convegno | 2023 | Marchesano, M. G.; Tortora, E.; Guizzi, G.; Vespoli, S.; Santillo, L. C. | |
| Battery Swapping Station Service in a Smart Microgrid: A Multi-Method Simulation Performance Analysis | 1.1 Articolo in rivista | 2023 | Marchesano, MARIA GRAZIA; Guizzi, Guido; Vespoli, Silvestro; Ferruzzi, Gabriella | |
| Assessing maintenance planning and scheduling using Deep Reinforcement Learning | 4.1 Articoli in Atti di convegno | 2023 | Marchesano, M. G.; Guizzi, G.; Converso, G.; Santillo, L. C. | |
| Adaptive manufacturing control with Deep Reinforcement Learning for dynamic WIP management in industry 4.0 | 1.1 Articolo in rivista | 2025 | Vespoli, S.; Mattera, G.; Marchesano, M. G.; Nele, L.; Guizzi, G. | |
| Performance Evaluation of Battery Swapping Stations for EVs: A Multi-Method Simulation Approach | 1.1 Articolo in rivista | 2024 | Marchesano, MARIA GRAZIA; Popolo, Valentina; Rozhok, Anastasiia; Cavalaglio, Gianluca | |
| Dynamic scheduling of a due date constrained flow shop with Deep Reinforcement Learning | 4.1 Articoli in Atti di convegno | 2022 | Marchesano, M. G.; Guizzi, G.; Popolo, V.; Converso, G. | |
| Deep Reinforcement Learning Approach for Maintenance Planning in a Flow-Shop Scheduling Problem | 4.1 Articoli in Atti di convegno | 2022 | Marchesano, M. G.; Staiano, L.; Guizzi, G.; Castellano, D.; Popolo, V. |