“Machine active” doesn’t mean “in production”
Most monitoring systems stop at active/inactive.
That’s not enough to understand what’s really happening on the shop floor.
- No distinction between setup, inspection, or production
- OEE metrics lack context and accuracy
- Bottlenecks are hard to identify
- Data stays raw, not actionable
💬 The result: incomplete insights and missed opportunities for improvement.
Y
Intelligent interpretation of machine signals
JITbase continuously reads CNC machine signals (programs, M-codes, alarms, spindle activity, etc.) and applies a logic model to automatically determine the machine’s functional mode:
✅ Setup
✅ First-off
✅ First-off inspection
✅ Production
✅ Idle
💡 No configuration, no operator input — just real context, in real time.
How it works
1️⃣ JITbase collects live machine signals and events
2️⃣ It analyzes behavior patterns (program start, tool change, spindle, feed, stop)
3️⃣ The system identifies the current mode automatically
4️⃣ OEE reports and dashboards are enriched with full production context
You go from raw machine data to interpreted, meaningful insights.
Why it matters?
Knowing a machine is running is one thing.
Knowing what it’s doing and why it’s not producing changes everything.
With JITbase:
✅ Understand context behind downtime and setup time
✅ Improve OEE accuracy
✅ Identify true bottlenecks faster
💬 Data that finally speaks the language of production.
Customer Example
“Before, all we saw was ‘machine active’. Now we know exactly when it’s in setup, inspection, or production. It’s the first time we can see where we really lose time.”
— Production Director, Aerospace Shop
Pro Tip
✅ Raw data isn’t enough — context turns it into action.
Automatic mode detection transforms basic monitoring into real performance understanding.