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Silvestro Vespoli
Silvestro Vespoli
PhD Candidate in Technology, Innovation and Management, Università degli Studi di Napoli "Federico
Verified email at unina.it
Title
Cited by
Cited by
Year
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
752017
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
502020
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
402021
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
302019
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
292019
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
282017
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
112020
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
112020
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
92023
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
92021
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
82022
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
62021
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
52017
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
42023
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
42021
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
42020
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
42020
An electrical DC Motor Equivalent Circuit testbed for the battery Prognostic Health and Management
S Vespoli, G Guizzi, G Converso, V Popolo, A Tedesco
2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4. 0&IoT …, 2019
22019
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
12023
Generalised Performance Estimation in Novel Hybrid MPC Architectures: Modeling the CONWIP Flow-Shop System
S Vespoli, A Grassi, G Guizzi, V Popolo
Applied Sciences 13 (8), 4808, 2023
12023
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Articles 1–20