Gabellini, M.; Mak, S.; Schoepf, S.; Brintrup, A.; Regattieri, A., A continuous training approach for risk informed supplier selection and order allocation, «PRODUCTION & MANUFACTURING RESEARCH», 2025, 13, Article number: 2447035 , pp. 1 - 24 [Scientific article]Open Access
Gabellini, Matteo; Calabrese, Francesca; Civolani, Lorenzo; Regattieri, Alberto; Mora, Cristina, A Data-Driven Approach to Predict Supply Chain Risk Due to Suppliers’ Partial Shipments, in: Smart Innovation, Systems and Technologies, Singapore, Springer Science and Business Media Deutschland GmbH, 2024, pp. 227 - 237 (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES) [Chapter or essay]
Gabellini M.; Civolani L.; Calabrese F.; Bortolini M., A Deep Learning Approach to Predict Supply Chain Delivery Delay Risk Based on Macroeconomic Indicators: A Case Study in the Automotive Sector, «APPLIED SCIENCES», 2024, 14, Article number: 4688 , pp. 1 - 19 [Scientific article]Open Access
Gabellini M.; Calabrese F.; Regattieri A.; Loske D.; Klumpp M., A hybrid approach integrating genetic algorithm and machine learning to solve the order picking batch assignment problem considering learning and fatigue of pickers, «COMPUTERS & INDUSTRIAL ENGINEERING», 2024, 191, Article number: 110175 , pp. 1 - 15 [Scientific article]Open Access
Regattieri, A.; Gabellini, M.; Calabrese, F.; Civolani, L.; Galizia, F. G., Balancing Data Acquisition Benefits and Ordering Costs for Predictive Supplier Selection and Order Allocation, «APPLIED SCIENCES», 2024, 14, Article number: 4306 , pp. 1 - 18 [Scientific article]Open Access
Cafarella C.; Bortolini M.; Gabellini M.; Galizia F.G.; Ventura V., Energy Network Optimization Model for Supporting Generation Expansion Planning and Grid Design, in: Smart Innovation, Systems and Technologies, Singapore, Springer Science and Business Media Deutschland GmbH, 2024, pp. 239 - 251 (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES) [Chapter or essay]
Gabellini M.; Civolani L.; Regattieri A.; Calabrese F., A Data Model for Predictive Supply Chain Risk Management, in: Changeable, Agile, Reconfigurable and Virtual Production Conference Proceedings CARV2023, 2023, pp. 365 - 372 (atti di: Changeable, Agile, Reconfigurable and Virtual Production Conference CARV2023, Bologna, 20-23 june 2023) [Contribution to conference proceedings]
Gabellini M.; Calabrese F.; Civolani L.; Regattieri A.; Galizia F.G., A predictive data-driven approach for supply chain quality risks in the automotive sector, in: Proceedings of the Summer School Francesco Turco, AIDI - Italian Association of Industrial Operations Professors, «...SUMMER SCHOOL FRANCESCO TURCO. PROCEEDINGS», 2023, pp. 1 - 7 (atti di: 28th Summer School Francesco Turco, 2023, ita, 6-8 september 2023) [Contribution to conference proceedings]
Calabrese F.; Regattieri A.; Gabellini M.; Caporale A.; Epifania P., Condition Monitoring of CNC machines: machining process classification through Temporal Convolutional Networks, in: 28th ISSAT International Conference on Reliability and Quality in Design, RQD 2023, International Society of Science and Applied Technologies, 2023, pp. 51 - 55 (atti di: 28th ISSAT International Conference on Reliability and Quality in Design, RQD 2023, usa, 2023) [Contribution to conference proceedings]
Gabellini M.; Calabrese F.; Regattieri A.; Ferrari E., Multivariate multi-output LSTM for time series forecasting with intermittent demand patterns, in: Proceedings of the Summer School Francesco Turco, AIDI - Italian Association of Industrial Operations Professors, «...SUMMER SCHOOL FRANCESCO TURCO. PROCEEDINGS», 2022, pp. 1 - 7 (atti di: 27th Summer School Francesco Turco, 2022, ita, 7-9 september 2022) [Contribution to conference proceedings]
