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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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 by physics, and ignoring that costs you weeks of lead time.
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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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Does Your Forecast Beat a Sticky Note? The Placebo Test for Demand Planning
Your forecast has exactly one job: beat a sticky note that says ‘same as…
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Don’t Push Your Suppliers — Pull Them!
How implementing Demand Driven MRP (DDMRP) transformed supplier lead times, reduced on-hand inventory, and brought lean pull principles to life in our supply chain.
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Advantages of R and Python over Excel
Twelve compelling reasons why R and Python outperform Excel for data analysis — and practical advice on making the transition from spreadsheets to code-based analytics.
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Data Quality Assessment for ERP Systems
Master data quality is the foundation of every ERP system. Learn how to systematically assess and visualize data gaps using R before they undermine your operations.
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Sales Data Visualization: Beyond Pie Charts
Move beyond pie charts to more effective visualizations for sales data — waffle charts for proportions, seasonal decomposition for patterns, and interactive dashboards for forecasting.
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Network Analysis for Supply Chain Risk and Resilience
Your supply chain is a network. Graph theory and R’s igraph package reveal which nodes are critical, where single points of failure hide, and how disruptions propagate — before they happen.
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bupaR: The Process Mining Toolkit That Shows You How Your Factory Actually Runs
Your factory has a designed process and an actual process. bupaR — the open-source process mining suite for R — shows you the difference, and that difference is where your efficiency gains are hiding.
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Process Mining a Mobile Phone Assembly Line with bupaR
Using R’s bupaR ecosystem to analyze a smartphone assembly process — from creating event logs to discovering bottlenecks, rework patterns, and resource utilization.
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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.