Build supply chain optimization models from zero — no hand-waving, pure implementation.

Implement every major optimization technique used in supply chain management, step by step in Python.

Most supply chain professionals use optimization tools as black boxes. They know the software gives an answer, but they don't understand why — which means they can't debug, customize, or trust the results.

This course changes that. We build every optimization model from scratch in Python:

• 📐 Linear Programming — from the simplex method to real transportation problems
• 🔢 Integer Programming — facility location, production scheduling, lot sizing
• 📦 Inventory Models — EOQ, newsvendor, (s,S) policies, multi-echelon
• 🌐 Network Design — where to put warehouses, which suppliers to use
• 🚚 Vehicle Routing — the famous VRP and its many real-world variants
• 🎲 Stochastic Optimization — making decisions under uncertainty
• ⚖️ Multi-Objective — balancing cost vs. service vs. sustainability

"The person who understands the model understands the limits of the answer. The person who just runs the software trusts a number they shouldn't."

flowchart LR
    subgraph Each Chapter
        A[📖 Theory &\nFormulation] --> B[💻 Build from\nScratch in Python]
        B --> C[📊 Real SC\nCase Study]
        C --> D[🏋️ Exercises &\nChallenges]
    end
    
    style A fill:#e3f2fd
    style B fill:#fff9c4
    style C fill:#c8e6c9
    style D fill:#ffe0b2

Each chapter follows the same pattern:

1. Theory — The mathematical formulation, explained intuitively
2. Build — Implement the solver in pure Python (then compare to scipy/PuLP)
3. Apply — Solve a realistic supply chain case study
4. Practice — Exercises from easy to competition-level

git clone https://github.com/virbahu/supply-chain-optimization-from-scratch.git
cd supply-chain-optimization-from-scratch
pip install -r requirements.txt
jupyter notebook

Virbahu Jain — Founder & CEO, Quantisage

Building the AI Operating System for Scope 3 emissions management and supply chain decarbonization.

If you find this useful, please ⭐ star this repo — it helps others discover it!

MIT License — see LICENSE for details.

_{Part of the Quantisage Open Source Initiative | AI × Supply Chain × Climate}