See IntelliTrack in action
The OEE framework: availability, performance, quality
Overall Equipment Effectiveness is the single most useful number in manufacturing. It comes from three loss factors that eat into your production time.
OEE formula
Availability × Performance × Quality
Availability: eliminating unplanned downtime
IntelliTrack automatically tags downtime reasons from machine data and builds a Pareto chart of the biggest losses, so maintenance effort goes where it matters.
Performance: real-time cycle-time analysis
Actual cycle times are compared to standards continuously, flagging machines running below speed before a minor slowdown becomes a trend.
Quality: scrap and rework reduction
Quality checks are linked to machine, shift and operator, so scrap and rework can be traced to a cause and corrected, not just logged.
Data acquisition and the MERN stack advantage
The hardest part of factory monitoring is connecting equipment that was never built to talk to each other. IntelliTrack uses MTConnect and OPC-UA where available, and Skynetik engineers proprietary connectors for legacy machines so coverage stays complete.
Node.js
Handles thousands of concurrent machine data streams for live monitoring and alerts.
MongoDB
Built for the time-series data industrial machinery produces, at any scale.
React
A fast, customisable dashboard so floor managers can act on data immediately.
Case study: 22% rise in scheduled uptime
Client profile
An auto-component manufacturer in Pune, India.
- The challenge
- Manual shift reports left over 8 hours of unaccounted idle time per machine, per week.
- The solution
- IntelliTrack, deployed with real-time machine-status alerts and automated root-cause logging.
- The outcome
- ROI inside 7 months, ₹1.2 lakh in annual savings, and a documented 22% rise in scheduled uptime within 90 days.
Figures as reported by the client; results vary by facility and baseline.