| 2025 | SoMeT | Energy-Efficient Scheduling with Variable Speed a Deep Reinforcement Learning Approach. | Maria De Martino, Andrea Grassi, Maria Grazia Marchesano, Emma Salatiello, Silvestro Vespoli |
| 2025 | SoMeT | AI-Driven Detection of Supply Chain Misreporting Using Engineered Cross-Stage Features and Isolation Forest. | Francesca Papa, Andrea Grassi, Valentina Popolo, Silvestro Vespoli |
| 2023 | SoMeT | Supply Chain Optimization Through an Ontological Model: Overcoming Information Asymmetry. | Emma Salatiello, Mario Veniero, Guido Guizzi, Andrea Grassi |
| 2022 | SoMeT | 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 |
| 2021 | SoMeT | A Performance-Based Dispatching Rule for Decentralised Manufacturing Planning and Production Control System. | Maria Grazia Marchesano, Silvestro Vespoli, Guido Guizzi, Valentina Popolo, Andrea Grassi |
| 2020 | WSC | 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 |
| 2008 | WSC | A simulation based approach for supporting Automated Guided Vehicles (AGVs) systems design. | Elisa Gebennini, Sara Dallari, Andrea Grassi, Giuseppe Perrica, Cesare Fantuzzi, Rita Gamberini |
| 2007 | ICRA | Complex Packaging Line Modelling and Simulation. | Andrea Grassi, Elisa Gebennini, Gabriele Goldoni, Cesare Fantuzzi, Rita Gamberini, Robert Nevin, Bianca Rimini |