Integrating machine learning and compliance requirements of deforestation European directive: the case of global cocoa supply chain
Rezaei, Niloofar (A.A. 2023/2024) Integrating machine learning and compliance requirements of deforestation European directive: the case of global cocoa supply chain. Tesi di Laurea in International operations and global supply chain, Luiss Guido Carli, relatore Lorenza Morandini, pp. 61. [Master's Degree Thesis]
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Abstract/Index
European Union deforestation regulation. Key obligations and mechanisms of the EUDR. Aims and approach of the study. Focus areas of anomaly detection. Objectives of anomaly detection. Literature review. Machine learning applications in supply chain management. Blockchain technology for traceability and compliance. Integration with geospatial data and remote sensing. Anomaly detection in supply chains. Blockchain integration with machine learning. Certification's role in sustainable supply chains. Regulatory frameworks and compliance. Challenges in the cocoa supply chain. Methodology. Introduction to datasets. Production anomalies. Geospatial analysis.
References
Bibliografia: pp. 60-61.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91) |
| Chair: | International operations and global supply chain |
| Thesis Supervisor: | Morandini, Lorenza |
| Thesis Co-Supervisor: | Martino, Alessio |
| Academic Year: | 2023/2024 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 29 Apr 2025 08:02 |
| Last Modified: | 29 Apr 2025 08:02 |
| URI: | https://tesi.luiss.it/id/eprint/41874 |
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