VESPOLI, SILVESTRO

VESPOLI, SILVESTRO  

Dipartimento di Ingegneria chimica, dei Materiali e della Produzione industriale  

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Titolo Tipologia Data di pubblicazione Autore(i) File
On the development of innovative manufacturing planning and control system architectures for the industry 4.0 1.1 Articolo in rivista 2020 Vespoli, S.; Grassi, A.; Guizzi, G.; Santillo, L.
On the advances of the Industry 4.0 Manufacturing Planning and Control system architectures 1.1 Articolo in rivista 2021 Vespoli, S.; Converso, G.; Grassi, A.; Santillo, L. C.
A Deep Learning Approach for the Performance Estimation of a Stochastic CONWIP Flow-Shop System 4.1 Articoli in Atti di convegno 2022 Vespoli, S.; Salatiello, E.; Grassi, A.; Guizzi, G.; Santillo, L. C.
A novel throughput control algorithm for semi-heterarchical industry 4.0 architecture 1.1 Articolo in rivista 2022 Vespoli, S.; Guizzi, G.; Gebennini, E.; Grassi, A.
On the modelling of a decentralized production control system in the Industry 4.0 environment 4.1 Articoli in Atti di convegno 2020 Grassi, A.; Guizzi, G.; Santillo, L. C.; Vespoli, S.
Simulation-Based Performance Assessment of a New Job-Shop Dispatching Rule for the Semi-Heterarchical Industry 4.0 Architecture 4.1 Articoli in Atti di convegno 2020 Guizzi, Guido; Vespoli, Silvestro; Grassi, Andrea; Santillo, LIBERATINA CARMELA
A Deep Learning Algorithm for the Throughput Estimation of a CONWIP Line 4.1 Articoli in Atti di convegno 2021 Vespoli, S.; Grassi, A.; Guizzi, G.; Popolo, V.
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.
A novel dispatching rule for semi-heterarchical architectures in the industry 4.0 context 4.1 Articoli in Atti di convegno 2021 Vespoli, S.; Scarpati, M.; Guizzi, G.; 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.
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 data-driven prognostic approach for the battery state-of-charge assessment with regard to machine workload 1.1 Articolo in rivista 2019 Vespoli, S.; Grassi, A.; Guizzi, G.; Santillo, L. C.
Assessing the performances of a novel decentralised scheduling approach in Industry 4.0 and cloud manufacturing contexts 1.1 Articolo in rivista 2021 Grassi, A.; Guizzi, G.; Santillo, L. C.; Vespoli, S.
The manufacturing planning and control system: A journey towards the new perspectives in industry 4.0 architectures 2.1 Contributo in volume (Capitolo o Saggio) 2020 Grassi, A.; Guizzi, G.; Santillo, L. C.; Vespoli, S.
A semi-heterarchical production control architecture for industry 4.0-based manufacturing systems 1.1 Articolo in rivista 2020 Grassi, A.; Guizzi, G.; Santillo, L. C.; Vespoli, S.
Evaluating the advantages of a novel decentralised scheduling approach in the Industry 4.0 and Cloud Manufacturing era 4.1 Articoli in Atti di convegno 2019 Vespoli, S.; Grassi, A.; Guizzi, G.; Santillo, L. C.
An electrical DC Motor Equivalent Circuit testbed for the battery Prognostic Health and Management 4.1 Articoli in Atti di convegno 2019 Vespoli, Silvestro; Guizzi, G.; Converso, G.; Popolo, V.; Tedesco, A.