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Notes and insights on AI, data science, enterprise architecture and software.

Getting Bad News to Management Early

Green averages hide trouble until Friday. How an exception (alerting) dashboard surfaces owned, aged breaches early—with an illustrative example and a two-week starter path.

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Why AI Pilots Stall Before the Shop Floor

The demo worked, but nobody on the line uses it. Seven gaps between an AI pilot and production—data plumbing, ownership, process change, trust, metrics, MLOps, MES/ERP integration—with an illustrative example and a production r...

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Master Data Ownership Before ERP–MES Integration

ERP–MES projects stall when nobody owns BOM, routing and work centers. Name a RACI and system of record, score mismatches, control changes—then connect the pipe. Illustrative example with mismatch counts and rework hours.

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KPI Dictionary: One Definition Across Plants

Plants argue in meetings because OEE, OTIF and scrap mean different things in each system. Build a one-page KPI dictionary—formula, source, owner, exclusions—and a worked example where shared rules make two plants comparable.

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Predictive Maintenance Without the Hype: Start With One Critical Asset

Plants buy sensors and drown in alerts, or wait forever for plant-wide PdM. How to run a practical one-asset pilot: failure modes, 1–2 signals, baseline before ML, and a worked example with numbers.

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An AI Assistant for Your Procedures and Manuals: A Practical RAG Pilot for Manufacturing

Your people lose time searching manuals and procedures. How a document assistant (RAG) answers only from your own files with sources, a worked example with numbers, and a six-step pilot plan.

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Process Mining in Practice: Read Your Real Process from the Event Log and Run a First Pilot

Your process chart says one thing, your ERP timestamps say another. What process mining is, a worked order-to-cash example with an event log and variants, and a six-step plan for a first pilot.

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Why Enterprise Architecture Matters: The Cost of No Capability Map and a 30-Day Start

Three systems doing one job, data copied by hand, projects that break things nobody expected. What enterprise architecture really does, an illustrative cost of overlapping systems, a one-page capability map template and a 30-da...

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Applied AI in Manufacturing: 5 Use Cases That Pay and How to Pick Your First

More AI ideas than AI results? Five practical AI use cases for manufacturers, a one-hour scoring method, an illustrative payback calculation, a one-page use-case card and a 90-day plan that ends in a clear decision.

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AI in Enterprise Architecture: From Static Diagrams to Living Models

Planning ERP or AI projects on a landscape slide nobody trusts? A practical 7-step method to turn static EA diagrams into a living, automatically fed model that AI can query, with an illustrative example and a checklist.

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From Spreadsheet Chaos to One Live Dashboard: a shop-floor visualization starter

Managers drowning in Excel and late decisions? A practical starter to build one live operations dashboard at the bottleneck — with an illustrative worked example, five KPIs and a 7-day checklist.

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OEE Went Up, Profit Didn’t: Why Your Efficiency Gains Don’t Reach EBITDA

Your OEE dashboard is green, but EBITDA hasn’t moved? Here is why efficiency gains away from the bottleneck don’t reach profit, with a loss tree, a worked example and a 5-step method to fix it.

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How to Find and Open a Production Bottleneck with Data

Find the real production constraint with WIP, throughput and Little’s Law—then exploit it before buying new capacity.

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Harnessing the Power of Neural Networks and Stochastic Programming for Optimal Decision-Making

The advent of machine learning and stochastic optimization has revolutionized operations research. This article explains how neural networks and stochastic programming work together for better, data-driven decisions under uncer...

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