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.
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.
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
Data-Driven Predictive Maintenance in Evolving Environments: A Comparison Between Machine Learning and Deep Learning for Novelty Detection
2022 Del Buono, F.; Calabrese, F.; Baraldi, A.; Paganelli, M.; Regattieri, A.
Fault Diagnosis in Industries: How to Improve the Health Assessment of Rotating Machinery
2022 Calabrese F.; Regattieri A.; Bortolini M.; Galizia F.G.
Genetic Programming-Based Feature Construction for System Setting Recognition and Component-Level Prognostics
2022 Calabrese F.; Regattieri A.; Galizia F.G.; Piscitelli R.; Bortolini M.
Multivariate multi-output LSTM for time series forecasting with intermittent demand patterns
2022 Gabellini M.; Calabrese F.; Regattieri A.; Ferrari E.
Semi-Automatic Rapid Upper Limb Assessment (RULA) with Azure Kinect of assembly and disassembly tasks, and the related learning curve
2022 Coruzzolo A.M.; Rossini S.; Neri A.; Lolli F.; Gamberini R.; Regattieri A.
An optimisation model for the dynamic management of cellular reconfigurable manufacturing systems under auxiliary module availability constraints
2021 Bortolini M.; Ferrari E.; Galizia F.G.; Regattieri A.