REGATTIERI, ALBERTO
REGATTIERI, ALBERTO
DIN - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE
Docenti di ruolo di Ia fascia
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.
Early Defect Prediction in Manufacturing: A Cross-Sectorial Review to Enhance Quality and Sustainability Targets
2025 Ronchi, M.; Regattieri, A.; Gamberi, M.; Bortolini, M.; Cafarella, C.
Industry 5.0 in Healthcare: An Integrated Framework for Human-Centered Prosthetics Design and Manufacturing
2025 Ambrogio, G.; Borgia, C.; Bortolini, M.; Catapano, G.; Conforti, D.; De Napoli, L.; Gagliardi, F.; Galizia, F. G.; Guido, R.; Longo, F.; Mirabelli, F.; Mirabelli, G.; Mundo, D.; Regattieri, A.; Saffioti, M. R.; Scordamaglia, G.; Solina, V.; Umbrello, D.; Veltri, P.
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.
Novel operator-centric digital technologies for a sustainable industrial workplace
2025 Calabrese, Francesca; Carricato, Marco; Ida, Edoardo; Lucarini, Andrea; Meattini, Roberto; Elena Nenni, Maria; Palli, Gianluca; Regattieri, Alberto; Zoffoli, Filippo
The Impact of Product Packaging Characteristics on Order Picking Performance in Grocery Retailing
2025 Loske, D.; Mangiaracina, R.; Regattieri, A.; Klumpp, M.
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 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.
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.
Managing Mass Customization through Delayed Product Differentiation: a bi-objective model for product platforms design
2024 Bortolini, M.; Galizia, F. G.; Naldi, L. D.; Regattieri, A.
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.
A two-step methodology for product platform design and assessment in high-variety manufacturing
2023 Bortolini M.; Calabrese F.; Galizia F.G.; Regattieri A.
Condition Monitoring of CNC machines: machining process classification through Temporal Convolutional Networks
2023 Calabrese F.; Regattieri A.; Gabellini M.; Caporale A.; Epifania P.
Interaction between Lean and Green Supply Chain Management: experiences from the automotive sector
2023 Bortolini, M.; Galizia, F. G.; Gamberi, M.; Mora, C.; Naldi, L. D.; Regattieri, A.; Ronchi, M.
Statistical Management and Modeling for Demand Spare Parts
2023 Ferrari E.; Pareschi A.; Regattieri A.; Persona A.
Assembly line balancing and activity scheduling for customised products manufacturing
2022 Pilati F.; Lelli G.; Regattieri A.; Ferrari E.
Data-Driven Fault Detection and Diagnosis: Challenges and Opportunities in Real-World Scenarios
2022 Calabrese, F; Regattieri, A; Bortolini, M; Galizia, FG