WhereFy

Industrial IoT & Manufacturing Intelligence

Technical Ref

WF-WP-OEE

Performance Researchanalytics

Maximizing OEE: Real-time Dashboards for Advanced Machine Monitoring

01Strategic Manufacturing Context

High-volume production environments often lose 15% of uptime to micro-stops and unrecorded manual interventions. Real-time machine monitoring is the only effective solution to identify hidden bottlenecks in CNC and VMC operations that traditional reporting misses.

02Technical Architecture & Integration

By analyzing 'Idle', 'Run', 'Stop', and 'Offline' states using high-frequency data sampling from Fanuc, Siemens, or Mitsubishi controllers, we calculate true OEE (Overall Equipment Effectiveness) including Availability, Performance, and Quality metrics with sub-second accuracy.

SYS_LOG: Machine Monitoring Service
Protocols: Modbus/TCP • MTConnect • OPC-UA
Cloud SCADA: Active • Data Sampling: 10kHz
Status: ✅ Connected to 8 machines

03Implementation & Architecture

Our dashboard logic processes thousands of machine telemetry points per second to identify cycle-time variances, tool-change bottlenecks, and operator efficiency patterns. This digital SCADA approach provides instant transparency into shop floor productivity and enables data-driven decision making.

04Industrial ROI & Impact

Achieve reduction of unplanned downtime by 40% through real-time bottleneck visualization, predictive maintenance alerts, and automated SMS/Email notifications for critical machine alarms. Typical ROI achieved within 4-6 months.

© 2025 WhereFy Inc.Industrial Research Series • Version 1.0