GABELLINI, Matteo
GABELLINI, Matteo
Dipartimento di Ingegneria
A Cluster Based Genetic Algorithm for Product Allocation Across Multiple Warehouse
file con accesso da definire2026 Gabellini, Matteo; Regattieri, Alberto; Bortolini, Marco; Di Nardo, Pasquale; Siena, Riccardo
A continuous training approach for risk informed supplier selection and order allocation
2025 Gabellini, M.; Mak, S.; Schoepf, S.; Brintrup, A.; Regattieri, A.
A Data Model for Predictive Supply Chain Risk Management
2023 Gabellini, M.; Civolani, L.; Regattieri, A.; Calabrese, F.
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.
A machine learning model predicting supplier delivery delays under partial shipments conditions: a case study in the automotive sector
2024 Civolani, L; Gabellini, M; Regattieri, A; Calabrese, F; Ronchi, M
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.
An information-sharing and cost-aware custom loss machine learning framework for 3PL supply chain forecasting
2025 Gabellini, Matteo; Calabrese, Francesca; Gabriele Galizia, Francesco; Ronchi, Michele; Regattieri, Alberto
An MILP Model for Optimizing Quality Inspection Allocation with Technology Selection and Variable Sampling Rates
2025 Ronchi, M; Cafarella, C; Gabellini, M; Regattieri, A; Gamberi, 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.
Conceptualization and validation of an intelligent digital twin design framework for supply chain risk management
2025 Gabellini, M.; Regattieri, A.; Bortolini, M.; Ronchi, M.
Condition Monitoring of CNC machines: machining process classification through Temporal Convolutional Networks
file con accesso da definire2023 Calabrese, F.; Regattieri, A.; Gabellini, M.; Caporale, A.; Epifania, P.
Data Spaces in Manufacturing and Supply Chains: A Review and Insights from European Initiatives
2025 Gabellini, M; Civolani, L; Ronchi, M; Naldi, L D; Regattieri, A
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
Investigating the Potential of Machine Learning and Deep Learning Models in Probabilistic Supply Risk Forecasting: A Case Study in the Automotive Sector
2025 Gabellini, M.; Regattieri, A.; Bortolini, M.; Galizia, F. G.
Multivariate multi-output LSTM for time series forecasting with intermittent demand patterns
file con accesso da definire2022 Gabellini, M.; Calabrese, F.; Regattieri, A.; Ferrari, E.
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