A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)

Supply Chain Optimization with Python

SupplyGraph | A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks

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.

Deterministic and Stochastic Dynamic Programs for optimization of Supply Chain

The official Python library for the Log-hub API

Sales forecasting for the supply chain industry.

Supply chain planning using max flow formulated as mixed integer linear programming

Supply chain network optimization for oilseed processing (bio-diesel application)

AI-powered pharmaceutical supply chain management using LangGraph agents, OpenAI GPT-4, and optimization algorithms.

Optimization Methods in Management Science assignment: Solving a vehicle routing problem

A Simple C++ Implementation of the Lemon Optimization Library to Solve a Minimum Cost Flow problem in a given Graph Network with Supply/Demand Values of Nodes and Capacity, Unit Cost of Flow for each Edge.

A simple CodeAgent for Supply Chain Optimization Model Interpretations

• Conducted research & evaluated solutions for development & improvement of Amazon’s logistical system of 1-day shipping across US • Discussed and incorporated various factors such as competition/ global politics/ technology induced issues that influence the supply-chain operations of Amazon.Inc and provided solutions to meet the constant needs …

Enhancing Spatiotemporal Supply Chain Forecasting Using Virtual Node-Augmented Graph Diffusion for Improved Fuel Efficiency

A comprehensive Streamlit dashboard for optimizing supply chain operations. Features interactive analytics for demand forecasting, inventory management, and supplier performance.

L’objectif de ce projet est de proposer des solutions permettant d'optimiser la distribution de ressources et de minimiser les coûts de transport.

Theoretically reduced total daily transportation mileage by 949 km (approx. 346,000 km annually) while maintaining 100% operational balance. This simulation replicates a real-world internship case, using synthetic data to adhere to NDA requirements.

An AI-driven demand forecasting system for pharmaceutical retail, analyzing 6 years of POS data to optimize inventory and sales.

This project is a comprehensive Business Intelligence solution designed to identify inefficiencies, optimize capital allocation, and model operational improvements across three core supply chain pillars.