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Titolo Data di pubblicazione Autori File
Serious game for lean layout planning: A proposal for involving company staff within the design process 1-gen-2021 Cantini A. +
Technological energy efficiency improvements in cement industries 1-gen-2021 Cantini A. +
Integration of Empirical Mode Decomposition and Machine Learning for operating condition classification: a proposal 1-gen-2022 Cantini A. +
Assessing Green Logistics Processes: proposal of a Three-Dimensional Maturity Model 1-gen-2023 A. Cantini +
A mathematical model for choosing between centralization and decentralization in distribution networks for perishable products 1-gen-2023 A. Cantini +
Reducing energy consumption in industrial plants: an integrated multi-criteria decision-making framework with similarity aggregation method 1-gen-2023 A. Cantini +
Trends and Recommendations for Enhancing Maturity Models in Supply Chain Management and Logistics 1-gen-2023 Cantini A. +
Assessing the adequacy of transportation overall vehicle effectiveness for sustainable road transportation 1-gen-2023 Cantini, Alessandra +
Additive or Conventional Manufacturing as spare parts manufacturing technology: the impact of qualification tests 1-gen-2023 Cantini, A. +
Sustainable Logistics 4.0: A Study on Selecting the Best Technology for Internal Material Handling 1-gen-2023 Cantini, Alessandra +
Evaluating the Energy and Economic Impacts of a Geothermal Heat Pump Installation in Italy 1-gen-2024 Cantini A. +
Analyzing Forklift and Drone Applications in Sustainable Logistics: A Bibliometric Review 1-gen-2024 Cantini A. +
A Conceptual Framework for Measuring the Impact of LARG Practices on Logistics Performance 1-gen-2024 Cantini A. +
Driving corporate digitization with reliable data through the A3 approach: an Italian case study 1-gen-2024 Cantini A.Costa F.Portioli-Staudacher A.
MaMoReS: A Robust Tool for Evaluating Supply Chain Resilience Through Systematic Literature and Network Analysis 1-gen-2024 Cantini A. +
Advancing Manufacturing with Interpretable Machine Learning: LIME-Driven Insights from the SECOM Dataset 1-gen-2024 Presciuttini A.Cantini A.Portioli-Staudacher A.
A data-driven methodology for the periodic review of spare parts supply chain configurations 1-gen-2024 Cantini, Alessandra +
Machine learning applications on IoT data in manufacturing operations and their interpretability implications: A systematic literature review. 1-gen-2024 A. PresciuttiniA. CantiniF. CostaA. Portioli-Staudacher
Enhancing Labor Flexibility in Workload Control: The Development and Application of a Framework 1-gen-2024 Ahmadi A.Cantini A.Costa F.Portioli-Staudacher A.
A Bibliometric Perspective of Integrating Labor Flexibility in Workload Control 1-gen-2024 Ahmadi A.Cantini A.Portioli-Staudacher A.
Machine learning and deep learning for safety applications: Investigating the intellectual structure and the temporal evolution 1-gen-2024 Alessandra Cantini +
Hydrogen in Glass Sector: A Comparison between Risk-Based Maintenance and Time-Based Maintenance Approaches 1-gen-2024 Cantini A. +
Explainable Artificial Intelligence in Manufacturing Operations: A Bibliometric Analysis 1-gen-2024 Presciuttini A.Cantini A.Portioli-Staudacher A.
Science Mapping Analysis for the Development of a Remanufacturing Readiness Model 1-gen-2024 A. Cantini +
A decision support system for configuring spare parts supply chains considering different manufacturing technologies 1-gen-2024 Cantini A. +
From Explanations to Actions: Leveraging SHAP, LIME, and Counterfactual Analysis for Operational Excellence in Maintenance Decisions 1-gen-2024 Presciuttini, AnnaCantini, AlessandraPortioli-Staudacher, Alberto
Exploring remanufacturing conveniency: An economic and energetic assessment for a closed-loop supply chain of a mechanical component 1-gen-2024 A. Cantini +
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