CALABRESE, FRANCESCA
CALABRESE, FRANCESCA
DIN - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE
Dottorandi
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 Deep Learning Approach to Predict Supply Chain Delivery Delay Risk Based on Macroeconomic Indicators: A Case Study in the Automotive Sector
2024 Gabellini M.; Civolani L.; Calabrese F.; Bortolini M.
A Heuristic Approach to Design a Crowd-Based Last-Mile Delivery Network
2024 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 Gabellini M.; Calabrese F.; Regattieri A.; Loske D.; Klumpp M.
A cross‐sectorial review of industrial best practices and case histories on Industry 4.0 technologies
2023 Galizia, Francesco Gabriele; Bortolini, Marco; Calabrese, Francesca
A Data Model for Predictive Supply Chain Risk Management
2023 Gabellini M.; Civolani L.; Regattieri A.; Calabrese F.
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.
Optimizing Makespan in Single-Model Assembly Lines with Human-Robot Collaboration
2023 Caporale A.; Galizia F.G.; Calabrese F.; Bortolini M.; Mora C.; Ferrari E.
A three-objective optimization model for mid-term sustainable supply chain network design
2022 Bortolini M.; Calabrese F.; Galizia F.G.; Mora C.
Crowd Logistics: A Survey of Successful Applications and Implementation Potential in Northern Italy
2022 Bortolini M.; Calabrese F.; Galizia F.G.
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.
Industry 4.0 Technologies: A Cross-sector Industry-Based Analysis
2022 Bortolini M.; Calabrese F.; Galizia F.G.; Mora C.; Ventura V.
Novelty Detection with Autoencoders for System Health Monitoring in Industrial Environments
2022 Del Buono F.; Calabrese F.; Baraldi A.; Paganelli M.; Guerra F.
Feature-based multi-class classification and novelty detection for fault diagnosis of industrial machinery
2021 Calabrese F.; Regattieri A.; Bortolini M.; Galizia F.G.; Visentini L.
Predictive maintenance: a novel framework for a data-driven, semi-supervised, and partially online prognostic health management application in industries
2021 Calabrese F.; Regattieri A.; Bortolini M.; Gamberi M.; Pilati F.
From raw data to information for a continuous supervision of machinery in dynamic industrial environments: A case study
2020 Calabrese F.; Ferrari E.; Lelli G.; Regattieri A.