CANTINI, ALESSANDRA
A Bibliometric Perspective of Integrating Labor Flexibility in Workload Control
2024-01-01 Ahmadi, A.; Cantini, A.; Portioli-Staudacher, A.
A Conceptual Framework for Measuring the Impact of LARG Practices on Logistics Performance
2024-01-01 Ferraro, S.; Cantini, A.; Leoni, L.; De Carlo, F.
A data-driven methodology for the periodic review of spare parts supply chain configurations
2024-01-01 Cantini, Alessandra; Peron, Mirco; De Carlo, Filippo; Sgarbossa, Fabio
A decision support system for configuring spare parts supply chains considering different manufacturing technologies
2024-01-01 Cantini, A.; Peron, M.; De Carlo, F.; Sgarbossa, F.
A mathematical model for choosing between centralization and decentralization in distribution networks for perishable products
2023-01-01 Cantini, A.; Ferraro, S.; Leoni, L.; Tucci, M.
Additive or Conventional Manufacturing as spare parts manufacturing technology: the impact of qualification tests
2023-01-01 Peron, M; Cantini, A.; Coruzzolo, A. M.
Advancing Manufacturing with Interpretable Machine Learning: LIME-Driven Insights from the SECOM Dataset
2024-01-01 Presciuttini, A.; Cantini, A.; Portioli-Staudacher, A.
Analyzing Forklift and Drone Applications in Sustainable Logistics: A Bibliometric Review
2024-01-01 Ferraro, S.; Leoni, L.; Cantini, A.; De Carlo, F.
Assessing Green Logistics Processes: proposal of a Three-Dimensional Maturity Model
2023-01-01 Ferraro, S.; De Carlo, F.; Cantini, A.; Leoni, L.
Assessing the adequacy of transportation overall vehicle effectiveness for sustainable road transportation
2023-01-01 Ferraro, Saverio; Cantini, Alessandra; Leoni, Leonardo; De Carlo, Filippo
Driving corporate digitization with reliable data through the A3 approach: an Italian case study
2024-01-01 Cantini, A.; Costa, F.; Portioli-Staudacher, A.
Enhancing Labor Flexibility in Workload Control: The Development and Application of a Framework
2024-01-01 Ahmadi, A.; Cantini, A.; Costa, F.; Portioli-Staudacher, A.
Explainable Artificial Intelligence in Manufacturing Operations: A Bibliometric Analysis
2024-01-01 Presciuttini, A.; Cantini, A.; Portioli-Staudacher, A.
Exploring remanufacturing conveniency: An economic and energetic assessment for a closed-loop supply chain of a mechanical component
2024-01-01 Ferraro, S.; Baffa, F.; Cantini, A.; Leoni, L.; De Carlo, F.
Hydrogen in Glass Sector: A Comparison between Risk-Based Maintenance and Time-Based Maintenance Approaches
2024-01-01 Collina, G.; Cantini, A.; Leoni, L.; Ferraro, S.; De Carlo, F.; Bucelli, M.; Paltrinieri, N.
Integration of Empirical Mode Decomposition and Machine Learning for operating condition classification: a proposal
2022-01-01 Leoni, L.; Cantini, A.; De Carlo, F.; Tucci, M.
Machine learning and deep learning for safety applications: Investigating the intellectual structure and the temporal evolution
2024-01-01 Leoni, Leonardo; Bahootoroody, Ahmad; Mahdi Abaei, Mohammad; Cantini, Alessandra; Bahootoroody, Farshad; De Carlo, Filippo
Machine learning applications on IoT data in manufacturing operations and their interpretability implications: A systematic literature review.
2024-01-01 Presciuttini, A.; Cantini, A.; Costa, F.; Portioli-Staudacher, A.
MaMoReS: A Robust Tool for Evaluating Supply Chain Resilience Through Systematic Literature and Network Analysis
2024-01-01 Leoni, L.; Ferraro, S.; Cantini, A.; Rinaldi, R.; De Carlo, F.
Reducing energy consumption in industrial plants: an integrated multi-criteria decision-making framework with similarity aggregation method
2023-01-01 Leoni, L.; Cantini, A.; De Carlo, F.; Tucci, M.