GABELLINI, MATTEO
GABELLINI, MATTEO
DIPARTIMENTO DI INGEGNERIA INDUSTRIALE
Assegnisti
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.
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.
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| A Data-Driven Approach to Predict Supply Chain Risk Due to Suppliers’ Partial Shipments | Gabellini, Matteo; Calabrese, Francesca; Civolani, Lorenzo; Regattieri, Alberto; Mora, Cristina | 2024-01-01 | - | Springer Science and Business Media Deutschland GmbH | 2.01 Capitolo / saggio in libro | - |
| A Deep Learning Approach to Predict Supply Chain Delivery Delay Risk Based on Macroeconomic Indicators: A Case Study in the Automotive Sector | Gabellini M.; Civolani L.; Calabrese F.; Bortolini M. | 2024-01-01 | APPLIED SCIENCES | - | 1.01 Articolo in rivista | applsci-14-04688-v2.pdf |
| A hybrid approach integrating genetic algorithm and machine learning to solve the order picking batch assignment problem considering learning and fatigue of pickers | Gabellini M.; Calabrese F.; Regattieri A.; Loske D.; Klumpp M. | 2024-01-01 | COMPUTERS & INDUSTRIAL ENGINEERING | - | 1.01 Articolo in rivista | 1-s2.0-S0360835224002961-main (2).pdf |
| Balancing Data Acquisition Benefits and Ordering Costs for Predictive Supplier Selection and Order Allocation | Regattieri A.; Gabellini M.; Calabrese F.; Civolani L.; Galizia F.G. | 2024-01-01 | APPLIED SCIENCES | - | 1.01 Articolo in rivista | - |
| Energy Network Optimization Model for Supporting Generation Expansion Planning and Grid Design | Cafarella C.; Bortolini M.; Gabellini M.; Galizia F.G.; Ventura V. | 2024-01-01 | - | Springer Science and Business Media Deutschland GmbH | 2.01 Capitolo / saggio in libro | - |
| A Data Model for Predictive Supply Chain Risk Management | Gabellini M.; Civolani L.; Regattieri A.; Calabrese F. | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| A predictive data-driven approach for supply chain quality risks in the automotive sector | Gabellini M.; Calabrese F.; Civolani L.; Regattieri A.; Galizia F.G. | 2023-01-01 | ...SUMMER SCHOOL FRANCESCO TURCO. PROCEEDINGS | AIDI - Italian Association of Industrial Operations Professors | 4.01 Contributo in Atti di convegno | - |
| Condition Monitoring of CNC machines: machining process classification through Temporal Convolutional Networks | Calabrese F.; Regattieri A.; Gabellini M.; Caporale A.; Epifania P. | 2023-01-01 | - | International Society of Science and Applied Technologies | 4.01 Contributo in Atti di convegno | - |
| Multivariate multi-output LSTM for time series forecasting with intermittent demand patterns | Gabellini M.; Calabrese F.; Regattieri A.; Ferrari E. | 2022-01-01 | ...SUMMER SCHOOL FRANCESCO TURCO. PROCEEDINGS | AIDI - Italian Association of Industrial Operations Professors | 4.01 Contributo in Atti di convegno | - |