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

Exploiting the Full Potential of I4.0 Technologies for Products EOL Recovery Process. - Valentina Popolo; Mosè Gallo; Andrea Grassi; Maria Grazia Marchesano (APMS (3), 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)

Deep Reinforcement Learning Approach for Maintenance Planning in a Flow-Shop Scheduling Problem. - Maria Grazia Marchesano; Luigi Staiano; Guido Guizzi; Davide Castellano; Valentina Popolo (SoMeT, 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)

Optimizing Industrial Maintenance Scheduling Through Deep Reinforcement Learning and Simulation Integration. - Maria Grazia Marchesano; Guido Guizzi; Giuseppe Converso; Emma Salatiello; Valentina Popolo (SoMeT, 2024)

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)