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cloud.google.com·7h ago
AI Research
arXiv CS.AI·Jul 24·5 min read
SPORD: A Simulation-Propose-then-OR-Dispose Approach for Supply Chain Planning
TL;DR
SPORD introduces a novel Simulation-Propose-then-OR-Dispose method for supply chain planning, significantly enhancing operational efficiency and executive engagement. Deployed via the NetSim platform, it has optimized services for over 20,000 suppliers, reducing fulfillment rates and carbon emissions.
✦ Why It Matters
Consider adopting SPORD to streamline your supply chain planning and improve executive buy-in today.
Key Takeaways
- Implement SPORD to enhance supply chain planning efficiency.
- Utilize matrix-vectorized simulation for faster operational analysis.
- Engage executives with transparent and verifiable outputs.
- Leverage intelligent diagnosis for continuous operational improvement.
How It Works
SPORD decouples the simulation and optimization processes in supply chain planning. The simulation phase generates a comprehensive set of operationally valid paths, incorporating specific business logic.
This is followed by an integer programming step that selects the optimal subset of these paths. The use of matrix-vectorized CPU/GPU acceleration allows for significant speed improvements, while a list scheduling algorithm reduces processing time from hours to minutes.