supply-chain-optimization

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

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

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

Agentic AI for Cold-Chain Sustainability: LSTM-Based Predictive Logistics

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.

Integrated Decision-Support Framework For Critical Materials.

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

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

Streamlit dashboard for supply chain operations, with interactive analytics for demand forecasting, inventory management, and supplier performance.

Policy-gated federated learning for global supply-chain intelligence. Enables enterprise-sovereign AI for disruption prediction and carbon-compliant routing without sharing raw logistics data.

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.