GABELLINI, MATTEO
GABELLINI, MATTEO
DIN - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE
Assegnisti
A continuous training approach for risk informed supplier selection and order allocation
2025 Gabellini, M.; Mak, S.; Schoepf, S.; Brintrup, A.; Regattieri, A.
Conceptualization and validation of an intelligent digital twin design framework for supply chain risk management
2025 Gabellini, M.; Regattieri, A.; Bortolini, M.; Ronchi, M.
Unlocking the Potential of Mass Customization Through Industry 4.0: Mapping Research Streams and Future Directions
2025 Naldi, Ludovica Diletta; Galizia, Francesco Gabriele; Bortolini, Marco; Gabellini, Matteo; Ferrari, Emilio
A Data-Driven Approach to Predict Supply Chain Risk Due to Suppliers’ Partial Shipments
2024 Gabellini, Matteo; Calabrese, Francesca; Civolani, Lorenzo; Regattieri, Alberto; Mora, Cristina
A Deep Learning Approach to Predict Supply Chain Delivery Delay Risk Based on Macroeconomic Indicators: A Case Study in the Automotive Sector
2024 Gabellini M.; Civolani L.; Calabrese F.; Bortolini M.
A hybrid approach integrating genetic algorithm and machine learning to solve the order picking batch assignment problem considering learning and fatigue of pickers
2024 Gabellini M.; Calabrese F.; Regattieri A.; Loske D.; Klumpp M.
Balancing Data Acquisition Benefits and Ordering Costs for Predictive Supplier Selection and Order Allocation
2024 Regattieri, A.; Gabellini, M.; Calabrese, F.; Civolani, L.; Galizia, F. G.
Energy Network Optimization Model for Supporting Generation Expansion Planning and Grid Design
2024 Cafarella, C.; Bortolini, M.; Gabellini, M.; Galizia, F. G.; Ventura, V.
Integration of process parameters and condition monitoring data through Deep Learning models for predictive maintenance
2024 Gabellini, M.; Civolani, L.; Regattieri, A.; Calabrese, F.; Bortolini, M.
A Data Model for Predictive Supply Chain Risk Management
2023 Gabellini M.; Civolani L.; Regattieri A.; Calabrese F.
A predictive data-driven approach for supply chain quality risks in the automotive sector
2023 Gabellini, M.; Calabrese, F.; Civolani, L.; Regattieri, A.; Galizia, F. G.
Condition Monitoring of CNC machines: machining process classification through Temporal Convolutional Networks
2023 Calabrese F.; Regattieri A.; Gabellini M.; Caporale A.; Epifania P.
Multivariate multi-output LSTM for time series forecasting with intermittent demand patterns
2022 Gabellini, M.; Calabrese, F.; Regattieri, A.; Ferrari, E.