Delay Prediction in Supply Chains: A Hybrid Graph-Based and Machine Learning Approach - Prototype
Abstract
Delay Prediction in Supply Chains: A Hybrid Graph-Based and Machine Learning Approach This Zenodo record documents a research prototype developed by the author as part of a master’s thesis at the Department of Informatics, Systems, and Communication (DISCo) of the University of Milano‑Bicocca, in collaboration with Cefriel Innovation Center. The prototype implements the core software architecture described in the associated research and demonstrates its practical feasibility. The software was built on AWS cloud infrastructure, utilizing AWS Lambda functions to execute code and the AWS Cloud Development Kit (CDK) to define and provision cloud resources programmatically. Important Notes The code represents an initial prototype of the system. The repository is provided for documentation and reproducibility purposes only. Intended use Reference for the methodology used in the thesis and related publications. Transparency for academic review and citation.
Fields of Study & Subjects
Supply Chain Resilience and Risk Management
Impact of AI and Big Data on Business and Society
Big Data and Business Intelligence
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 11 February 2026
- Language
- EN