On The Architecture Scheduling Problem Of Industry 4.0. - Guido Guizzi; Silvestro Vespoli; Stefania Santini (CIISE, 2017)

Man-CPS interaction: An experimental assessment of the human behavior evolution. - Cammardella Assunta; Guido Guizzi; Silvestro Vespoli; Visone Giusy (RTSI, 2017)

An electrical DC Motor Equivalent Circuit testbed for the battery Prognostic Health and Management. - Silvestro Vespoli; Guido Guizzi; Giuseppe Converso; Valentina Popolo; Annarita Tedesco (MetroInd4.0&IoT, 2019)

Measuring Worker's Performance in Augmented Reality-assisted Industry 4.0 Procedures. - Francesco Bonavolontà; Dominique Dallet; Ernesto Erra; Andrea Grassi; Valentina Popolo; Annarita Tedesco; Silvestro Vespoli (I2MTC, 2020)

Simulation-Based Performance Assessment of a New Job-Shop Dispatching Rule for the Semi-Heterarchical Industry 4.0 Architecture. - Guido Guizzi; Silvestro Vespoli; Andrea Grassi; Liberatina Carmela Santillo (WSC, 2020)

Dynamic Scheduling in a Flow Shop Using Deep Reinforcement Learning. - Maria Grazia Marchesano; Guido Guizzi; Liberatina Carmela Santillo; Silvestro Vespoli (APMS (1), 2021)

A Deep Learning Algorithm for the Throughput Estimation of a CONWIP Line. - Silvestro Vespoli; Andrea Grassi; Guido Guizzi; Valentina Popolo (APMS (1), 2021)

A Performance-Based Dispatching Rule for Decentralised Manufacturing Planning and Production Control System. - Maria Grazia Marchesano; Silvestro Vespoli; Guido Guizzi; Valentina Popolo; Andrea Grassi (SoMeT, 2021)

Assessing the performances of a novel decentralised scheduling approach in Industry 4.0 and cloud manufacturing contexts. - Andrea Grassi; Guido Guizzi; Liberatina Carmela Santillo; Silvestro Vespoli (Int. J. Prod. Res., 2021)

A Deep Learning Approach for the Performance Estimation of a Stochastic CONWIP Flow-Shop System. - Silvestro Vespoli; Emma Salatiello; Andrea Grassi; Guido Guizzi; Liberatina Carmela Santillo (SoMeT, 2022)

A novel throughput control algorithm for semi-heterarchical industry 4.0 architecture. - Silvestro Vespoli; Guido Guizzi; Elisa Gebennini; Andrea Grassi (Ann. Oper. Res., 2022)

Integrated Approach for Maintenance Planning and Scheduling in a Flow Shop Using Deep Reinforcement Learning. - Maria Grazia Marchesano; Eleonora Tortora; Guido Guizzi; Silvestro Vespoli; Liberatina Carmela Santillo (SoMeT, 2023)

Adaptive WIP Control in Industry 4.0 Manufacturing via Deep Reinforcement Learning: A Case Study in Hybrid Control Architectures. - Silvestro Vespoli; Giulio Mattera; Guido Guizzi; Liberatina Carmela Santillo; Luigi Nele (SoMeT, 2024)

Long-sighted dispatching rules for manufacturing scheduling problem in Industry 4.0 hybrid approach. - Emma Salatiello; Silvestro Vespoli; Guido Guizzi; Andrea Grassi (Comput. Ind. Eng., 2024)

Anomaly detection in manufacturing systems with temporal networks and unsupervised machine learning. - Giulio Mattera; Raffaele Mattera; Silvestro Vespoli; Emma Salatiello (Comput. Ind. Eng., 2025)

Adaptive manufacturing control with Deep Reinforcement Learning for dynamic WIP management in industry 4.0. - Silvestro Vespoli; Giulio Mattera; Maria Grazia Marchesano; Luigi Nele; Guido Guizzi (Comput. Ind. Eng., 2025)