REGATTIERI, ALBERTO

REGATTIERI, ALBERTO  

DIPARTIMENTO DI INGEGNERIA INDUSTRIALE  

Docenti di ruolo di Ia fascia  

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Risultati 1 - 20 di 186 (tempo di esecuzione: 0.047 secondi).
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 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 -
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 -
A two-step methodology for product platform design and assessment in high-variety manufacturing Bortolini M.; Calabrese F.; Galizia F.G.; Regattieri A. 2023-01-01 INTERNATIONAL JOURNAL, ADVANCED MANUFACTURING TECHNOLOGY - 1.01 Articolo in rivista A two‑step methodology for product platform design and assessment in high‑variety manufacturing.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 -
Interaction between Lean and Green Supply Chain Management: experiences from the automotive sector Bortolini M.; Galizia F.G.; Gamberi M.; Mora C.; Naldi L.D.; Regattieri A.; Ronchi M. 2023-01-01 ...SUMMER SCHOOL FRANCESCO TURCO. PROCEEDINGS AIDI - Italian Association of Industrial Operations Professors 4.01 Contributo in Atti di convegno -
Statistical Management and Modeling for Demand Spare Parts Ferrari E.; Pareschi A.; Regattieri A.; Persona A. 2023-01-01 - Springer Science and Business Media Deutschland GmbH 2.01 Capitolo / saggio in libro -
Assembly line balancing and activity scheduling for customised products manufacturing Pilati F.; Lelli G.; Regattieri A.; Ferrari E. 2022-01-01 INTERNATIONAL JOURNAL, ADVANCED MANUFACTURING TECHNOLOGY - 1.01 Articolo in rivista s00170-022-08953-3.pdf
Data-Driven Fault Detection and Diagnosis: Challenges and Opportunities in Real-World Scenarios Calabrese, F; Regattieri, A; Bortolini, M; Galizia, FG 2022-01-01 APPLIED SCIENCES - 1.01 Articolo in rivista Data-Driven Fault Detection and Diagnosis Challenges and Opportunities in Real-World Scenarios.pdf
Data-Driven Predictive Maintenance in Evolving Environments: A Comparison Between Machine Learning and Deep Learning for Novelty Detection Del Buono F.; Calabrese F.; Baraldi A.; Paganelli M.; Regattieri A. 2022-01-01 - Springer Science and Business Media Deutschland GmbH 4.01 Contributo in Atti di convegno -
Fault Diagnosis in Industries: How to Improve the Health Assessment of Rotating Machinery Calabrese F.; Regattieri A.; Bortolini M.; Galizia F.G. 2022-01-01 - Springer Science and Business Media Deutschland GmbH 2.01 Capitolo / saggio in libro -
Genetic Programming-Based Feature Construction for System Setting Recognition and Component-Level Prognostics Calabrese F.; Regattieri A.; Galizia F.G.; Piscitelli R.; Bortolini M. 2022-01-01 APPLIED SCIENCES - 1.01 Articolo in rivista Genetic programming-based feature construction for system setting recognition and component-level prognostics.pdf
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 -
Semi-Automatic Rapid Upper Limb Assessment (RULA) with Azure Kinect of assembly and disassembly tasks, and the related learning curve Coruzzolo A.M.; Rossini S.; Neri A.; Lolli F.; Gamberini R.; Regattieri A. 2022-01-01 ...SUMMER SCHOOL FRANCESCO TURCO. PROCEEDINGS AIDI - Italian Association of Industrial Operations Professors 4.01 Contributo in Atti di convegno -
An optimisation model for the dynamic management of cellular reconfigurable manufacturing systems under auxiliary module availability constraints Bortolini M.; Ferrari E.; Galizia F.G.; Regattieri A. 2021-01-01 JOURNAL OF MANUFACTURING SYSTEMS - 1.01 Articolo in rivista SMEJMS.pdf
Bi‐objective design and management of reconfigurable manufacturing systems to optimize technical and ergonomic performances Bortolini M.; Botti L.; Galizia F.G.; Regattieri A. 2021-01-01 APPLIED SCIENCES - 1.01 Articolo in rivista Bi-objective design and management of reconfigurable manufacturing systems to optimize technical and ergonomic performances.pdf
Feature-based multi-class classification and novelty detection for fault diagnosis of industrial machinery Calabrese F.; Regattieri A.; Bortolini M.; Galizia F.G.; Visentini L. 2021-01-01 APPLIED SCIENCES - 1.01 Articolo in rivista Feature-based multi-class classification and novelty detection for fault diagnosis of industrial machinery.pdf
Predictive maintenance: a novel framework for a data-driven, semi-supervised, and partially online prognostic health management application in industries Calabrese F.; Regattieri A.; Bortolini M.; Gamberi M.; Pilati F. 2021-01-01 APPLIED SCIENCES - 1.01 Articolo in rivista Predictive maintenance a novel framework for a data-driven, semi-supervised, and partially online Prognostic Health Management application in industries.pdf