GUAC aggregates software security metadata into a high fidelity graph database.

A project on using mathematical programming to solve multi-modal transportation cost minimization in goods delivery and supply chain management.

BLint is a Binary Linter to check the security properties, and capabilities in your executables. Since v2, blint is also an SBOM generator for binaries.

Improve Warehouse Productivity using Order Batching

Python implementation to solve Vehicle Routing problem & Master Production Scheduling in Supply Chain Analytics & Design.

Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management - Mémoire/Thesis; HEC Montréal.

A Python library to design & optimize Supply Chains

Deterministic and Stochastic Dynamic Programs for optimization of Supply Chain

A low capacity and high capacity plant across 5 countries are considered and a linear programming model is built to determine the total lowest costs for satisfying consumer demand across all countries, based on various constraints. Data visualization is done and interactive widgets are used to compare different scenarios.

Understanding the supply chain process data and implementing different algorithms, building a machine learning model that can predict whether a given order gets cancelled or goes to back order.

A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks

Shiny App for Warehouse location Determination

The official Python library for the Log-hub API

An analysis on open-source Android apps intended to learn if they are harmed by vulnerable dependencies 🔒

In this study, we aimed to detect fraudulent activities in the supply chain through the use of neural networks. The study focused on building two machine learning models using the MLPClassifier algorithm from the scikit-learn library and a custom neural network using the Keras library in Python.

Simulate operations of synthetic Amazon fulfillment center

Project based on business intelligence and visualisation for supply chain domain using Power BI and supply chain KPIs

Build a predictive model to ascertain the correct shipping mode and choose the significant predictors wisely.