CRIS Current Research Information System

REGATTIERI, ALBERTO

REGATTIERI, ALBERTO  

DIN - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE  

Docenti di ruolo di Ia fascia  

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Risultati 1 - 20 di 204 (tempo di esecuzione: 0.034 secondi).
Titolo Autore(i) Anno Periodico Editore Tipo File
A Cluster Based Genetic Algorithm for Product Allocation Across Multiple Warehouse Gabellini, Matteo; Regattieri, Alberto; Bortolini, Marco; Di Nardo, Pasquale; Siena, Riccardo 2026-01-01 - Springer Nature 2.01 Capitolo / saggio in libro -
A Model to Guide Visibility Investments in Complex Distribution Networks Siena, Riccardo; Bortolini, Marco; Naldi, Ludovica Diletta; Regattieri, Alberto; Ronchi, Michele 2026-01-01 - Springer Nature 2.01 Capitolo / saggio in libro -
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
An information-sharing and cost-aware custom loss machine learning framework for 3PL supply chain forecasting Gabellini, M.; Calabrese, F.; Galizia, F. G.; Ronchi, M.; Regattieri, A. 2025-01-01 COMPUTERS & INDUSTRIAL ENGINEERING - 1.01 Articolo in rivista -
An MILP Model for Optimizing Quality Inspection Allocation with Technology Selection and Variable Sampling Rates Ronchi, M.; Cafarella, C.; Gabellini, M.; Regattieri, A.; Gamberi, M. 2025-01-01 APPLIED SCIENCES - 1.01 Articolo in rivista 2_Ronchi_an MILP.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
Data Spaces in Manufacturing and Supply Chains: A Review and Insights from European Initiatives Gabellini, M.; Civolani, L.; Ronchi, M.; Naldi, L. D.; Regattieri, A. 2025-01-01 APPLIED SCIENCES - 1.01 Articolo in rivista -
Early Defect Prediction in Manufacturing: A Cross-Sectorial Review to Enhance Quality and Sustainability Targets Ronchi, M.; Regattieri, A.; Gamberi, M.; Bortolini, M.; Cafarella, C. 2025-01-01 - Springer Science and Business Media Deutschland GmbH 2.01 Capitolo / saggio in libro SDM-24_RevisedPaper_35.pdf
Foundation Models for Supply Chain Risk Forecasting: A Case Study Civolani, L.; Gabellini, M.; Naldi, L.; Mora, C.; Regattieri, A.; Ronchi, M. 2025-01-01 ...SUMMER SCHOOL FRANCESCO TURCO. PROCEEDINGS AIDI - Italian Association of Industrial Operations Professors 4.01 Contributo in Atti di convegno -
Industry 5.0 in Healthcare: An Integrated Framework for Human-Centered Prosthetics Design and Manufacturing 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. 2025-01-01 PROCEDIA COMPUTER SCIENCE Elsevier B.V. 4.01 Contributo in Atti di convegno I5.0 in healthcare an integrated framework for human-centered prosthetics design and manufacturing.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 Investigating the potential of ML and DL models in probabilistic supply risk forecasting a Case Study in the Automotive sector.pdf
Multi-criteria selection of image acquisition technologies for automatic optical inspection in assembly lines Ronchi, M.; Regattieri, A.; Gamberi, M.; Cafarella, C. 2025-01-01 INTERNATIONAL JOURNAL, ADVANCED MANUFACTURING TECHNOLOGY - 1.01 Articolo in rivista -
Novel operator-centric digital technologies for a sustainable industrial workplace Calabrese, Francesca; Carricato, Marco; Ida, Edoardo; Lucarini, Andrea; Meattini, Roberto; Elena ...Nenni, Maria; Palli, Gianluca; Regattieri, Alberto; Zoffoli, Filippo 2025-01-01 - Bologna University Press 2.01 Capitolo / saggio in libro Carricato-Idà-Zoffoli-etAl_BUP2025_published.pdf
The Impact of Product Packaging Characteristics on Order Picking Performance in Grocery Retailing Loske, D.; Mangiaracina, R.; Regattieri, A.; Klumpp, M. 2025-01-01 JOURNAL OF BUSINESS LOGISTICS - 1.01 Articolo in rivista J of Business Logistics - 2025.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 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
A machine learning model predicting supplier delivery delays under partial shipments conditions: a case study in the automotive sector Civolani, L.; Gabellini, M.; Regattieri, A.; Calabrese, F.; Ronchi, M. 2024-01-01 ...SUMMER SCHOOL FRANCESCO TURCO. PROCEEDINGS AIDI - Italian Association of Industrial Operations Professors 4.01 Contributo in Atti di convegno -
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
Managing Mass Customization through Delayed Product Differentiation: a bi-objective model for product platforms design Bortolini, M.; Galizia, F. G.; Naldi, L. D.; Regattieri, A. 2024-01-01 - Elsevier B.V. 2.01 Capitolo / saggio in libro Managing mass customization through Delayed Product Differentiation a bi-objective model for product platforms design.pdf