Downtime Analysis & Classification
Know exactly why output is being lost, by shift and by line. Classify 80%+ of downtime events automatically from PLC fault codes, so improvement goes where it actually pays off.
70%
of manufacturers still collect data manually.
Paper, clipboards, and spreadsheets cannot tell you why a line stopped. Manual logs are late, lossy, and unclassified.
Source: Manufacturing Leadership Council (NAM), Data Mastery, 2024
How It Works
From raw equipment signals to actionable intelligence.
1
Capture Every Event
PLC fault codes, state changes, and idle periods are captured automatically. No operator input required for detection.
2
AI Classifies the Reason
Rule-based classification works from day one. LLM advisory layers in within the first week. Pattern matching activates as labeled events accumulate.
3
Operators Confirm or Correct
One-tap confirmation on the shop floor. Corrections feed back into the model. Every interaction makes the next classification more accurate.
4
Actionable Downtime Pareto
Auto-generated Pareto charts by shift, line, or factory. Real data replaces guesswork. Improvement resources go where they will have the most impact.
Capabilities
What Visual Factory delivers for downtime analysis & classification.
Automated detection from PLC fault codes and state changes
Three-tier confidence: auto-assign (95%+), suggest (70-95%), queue (<70%)
Operator feedback loop for continuous improvement
Hierarchical reason tree, organized around your equipment
Shift-by-shift Pareto analysis
Classification accuracy tracking dashboard
80%+
of downtime events auto-classified from PLC fault codes.
Rule-based from day one, and accuracy climbs as the model learns from operator confirmations.
MAJiK deployment data, 2025-2026