CIVOLANI, LORENZO
CIVOLANI, LORENZO
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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.
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.
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.
FogDocker: Start Container Now, Fetch Image Later
2019 Civolani, Lorenzo; Pierre, Guillaume; Bellavista, Paolo
| 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 |
| 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 | applsci-14-04306.pdf |
| Integration of process parameters and condition monitoring data through Deep Learning models for predictive maintenance | Gabellini, M.; Civolani, L.; Regattieri, A.; Calabrese, F.; Bortolini, M. | 2024-01-01 | - | AIDI - Italian Association of Industrial Operations Professors | 4.01 Contributo in Atti di convegno | Integration of process parameters and condition monitoring data through Deep Learning models for predictive maintenance.pdf |
| 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 | Camera_ready_ID70.pdf |
| FogDocker: Start Container Now, Fetch Image Later | Civolani, Lorenzo; Pierre, Guillaume; Bellavista, Paolo | 2019-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |