CRIS Current Research Information System

GABELLINI, MATTEO

GABELLINI, MATTEO  

DIN - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE  

Assegnisti  

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Risultati 1 - 14 di 14 (tempo di esecuzione: 0.01 secondi).
Titolo Autore(i) Anno Periodico Editore Tipo File
A continuous training approach for risk informed supplier selection and order allocation Gabellini, M.; Mak, S.; Schoepf, S.; Brintrup, A.; Regattieri, A. 2025-01-01 PRODUCTION & MANUFACTURING RESEARCH - 1.01 Articolo in rivista definitivo pub.pdf
Conceptualization and validation of an intelligent digital twin design framework for supply chain risk management Gabellini, M.; Regattieri, A.; Bortolini, M.; Ronchi, M. 2025-01-01 INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT DATA INSIGHTS - 1.01 Articolo in rivista Conceptualization and validation of an intelligent digital twin design framework for supply chain risk management.pdf
Investigating the Potential of Machine Learning and Deep Learning Models in Probabilistic Supply Risk Forecasting: A Case Study in the Automotive Sector Gabellini, M.; Regattieri, A.; Bortolini, M.; Galizia, F. G. 2025-01-01 IFAC PAPERSONLINE Elsevier B.V. 4.01 Contributo in Atti di convegno -
Unlocking the Potential of Mass Customization Through Industry 4.0: Mapping Research Streams and Future Directions Naldi, Ludovica Diletta; Galizia, Francesco Gabriele; Bortolini, Marco; Gabellini, Matteo; Ferrar...i, Emilio 2025-01-01 APPLIED SCIENCES - 1.01 Articolo in rivista Unlocking the potential of mass customization through Industry 4.0 mapping research streams and future directions.pdf
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 applsci-14-04306.pdf
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 -
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
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 ID_026.pdf