Process engineering intelligence, in writing.
Technical articles from Moe Tanabian on PLC trace analysis, MTTR reduction, downtime event diagnosis, shift handoff knowledge gaps, and what it actually takes to build a tool that control engineers and process engineers will trust on a real floor.
Why Shift Handoff Is the Silent OEE Killer — and What PLC Traces Reveal
Throughput loss in the first 45 minutes of a new shift consistently accounts for 18–24% of total daily downtime.
Isolating the Root-Cause Station Without a Master SME in the Room
How AI narrows a fault signature from 64-station lines to a single candidate — and translates that into a work order.
OEE Dashboards Tell You What Happened. PLC Trace Intelligence Tells You Why.
The information-architecture problem between a red cell on a dashboard and a closed work order.
Five Design Principles for an AI Copilot That Process Engineers Will Actually Use
Why consumer AI tools fail on factory floors — and the five principles we built Intuigence AI around.
The Work Order Quality–Speed Tradeoff: Why Faster Isn't Always Better
Pushing a bad work order quickly creates a second fault event 40% of the time. What the engineer actually needs to know first.
From 4 Hours to 38 Minutes: What MTTR Reduction Looks Like in Practice
A synthetic walkthrough of how AI-assisted trace analysis compresses a fault-investigation cycle at a transmission-component line.
Connecting AI to a 1990s PLC Without Ripping the Floor Apart
The read-only OPC-UA / MQTT bridge approach that lets AI ingest live PLC telemetry without touching existing ladder logic.
Why Process Engineers Don't Trust AI — and What Changes That
Trust is earned through explainability. The specific transparency features that move engineers from skepticism to adoption.