Calabrese, Francesca
Calabrese, Francesca
Ingegneria industriale (29/10/12-)
A cross‐sectorial review of industrial best practices and case histories on Industry 4.0 technologies
2023-01-01 Galizia, Francesco Gabriele; Bortolini, Marco; Calabrese, Francesca
A Data Model for Predictive Supply Chain Risk Management
2023-01-01 Gabellini, M.; Civolani, L.; Regattieri, A.; Calabrese, F.
A Data-Driven Approach to Predict Supply Chain Risk Due to Suppliers’ Partial Shipments
2024-01-01 Gabellini, Matteo; Calabrese, Francesca; Civolani, Lorenzo; Regattieri, Alberto; Mora, Cristina
A Deep Learning Approach to Predict Supply Chain Delivery Delay Risk Based on Macroeconomic Indicators: A Case Study in the Automotive Sector
2024-01-01 Gabellini, M.; Civolani, L.; Calabrese, F.; Bortolini, M.
A Heuristic Approach to Design a Crowd-Based Last-Mile Delivery Network
2024-01-01 Bortolini, M.; Calabrese, F.; Ferrari, E.; Galizia, F. G.; Naldi, L. D.
A hybrid approach integrating genetic algorithm and machine learning to solve the order picking batch assignment problem considering learning and fatigue of pickers
2024-01-01 Gabellini, Matteo; Calabrese, Francesca; Regattieri, Alberto; Loske, Dominic; Klumpp, Matthias
A predictive data-driven approach for supply chain quality risks in the automotive sector
2023-01-01 Gabelli, Matteo; Calabrese, Francesca; Civolani, Lorenzo; Regattieri, Alberto; Galizia Francesco, Gabriele
A three-objective optimization model for mid-term sustainable supply chain network design
2022-01-01 Bortolini, M.; Calabrese, F.; Galizia, F. G.; Mora, C.
A two-step methodology for product platform design and assessment in high-variety manufacturing
2023-01-01 Bortolini, M.; Calabrese, F.; Galizia, F. G.; Regattieri, A.
Balancing Data Acquisition Benefits and Ordering Costs for Predictive Supplier Selection and Order Allocation
2024-01-01 Regattieri, Alberto; Gabellini, Matteo; Calabrese, Francesca; Civolani, Lorenzo; Galizia, Francesco Gabriele
Components monitoring and intelligent diagnosis tools for Prognostic Health Management approach
2018-01-01 Calabrese, Francesca; Casto, Andrea; Regattieri, Alberto; Piana, Francesco
Condition Monitoring of CNC machines: machining process classification through Temporal Convolutional Networks
2023-01-01 Calabrese, F.; Regattieri, A.; Gabellini, M.; Caporale, A.; Epifania, P.
Crowd Logistics: A Survey of Successful Applications and Implementation Potential in Northern Italy
2022-01-01 Bortolini, M.; Calabrese, F.; Galizia, F. G.
Data-Driven Fault Detection and Diagnosis: Challenges and Opportunities in Real-World Scenarios
2022-01-01 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
2022-01-01 Del Buono, F.; Calabrese, F.; Baraldi, A.; Paganelli, M.; Regattieri, A.
Data-driven prognostics: From an offline and supervised analysis to an innovative, online and unsupervised methodology
2019-01-01 Calabrese, F.; Gamberi, M.; Margelli, S.; Pilati, F.; Regattieri, A.
Fault Diagnosis in Industries: How to Improve the Health Assessment of Rotating Machinery
2022-01-01 Calabrese, F.; Regattieri, A.; Bortolini, M.; Galizia, F. G.
Feature-based multi-class classification and novelty detection for fault diagnosis of industrial machinery
2021-01-01 Calabrese, F.; Regattieri, A.; Bortolini, M.; Galizia, F. G.; Visentini, L.
From raw data to information for a continuous supervision of machinery in dynamic industrial environments: A case study
2020-01-01 Calabrese, F.; Ferrari, E.; Lelli, G.; Regattieri, A.
Genetic Programming-Based Feature Construction for System Setting Recognition and Component-Level Prognostics
2022-01-01 Calabrese, F.; Regattieri, A.; Galizia, F. G.; Piscitelli, R.; Bortolini, M.