Published February 11, 2026 | Version v0.0.1
Software Open

Delay Prediction in Supply Chains: A Hybrid Graph-Based and Machine Learning Approach - Prototype

  • 1. ROR icon Cefriel

Description

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.

Files

iFoxz17/sc-delay-prediction-v0.0.1.zip

Files (79.2 MB)

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Additional details

Related works

Is described by
Working paper: 10.5281/zenodo.18613309 (DOI)
Is supplement to
Software: https://github.com/iFoxz17/sc-delay-prediction/tree/v0.0.1 (URL)

Software

Repository URL
https://github.com/iFoxz17/sc-delay-prediction
Programming language
Python , TypeScript
Development Status
Concept