MARCHESANO, MARIA GRAZIA

MARCHESANO, MARIA GRAZIA  

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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