Where SCM meets data science and AI.
Real-world methods for supply chain and operations management professionals who want to go beyond Excel — with reproducible code, realistic datasets, and techniques you can apply today.
Newest Entries
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Your Exception Report Is Lying to You: How to Make ‘1% False Alarms’ Actually Mean 1%
A static ±3σ band promised 0.27% false alarms and delivered 3.80%. Here is how to turn your exception threshold from a statistics setting into an honest attention budget.
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Factory Physics: The Laws Your Factory Floor Already Obeys
Throughput, WIP, and cycle time aren’t three dials you can set independently. They’re bound…
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S&OP: Everyone Signed Off on the Number. It Was Still Wrong by 8.2%.
A consensus forecast measures agreement, not truth. Here is what a textbook S&OP cycle…
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Five Data Science Capabilities That Transform Supply Chain Operations
Five concrete data science capabilities — from demand forecasting to anomaly detection — that deliver measurable improvements in supply chain planning, procurement, and logistics.