Robotic Automation · 2025
RoboLine Automation Line
Real-time visibility and quality analytics for a robotic assembly line.
Scope & Delivery
We designed the architecture, integrated core systems, and delivered measurable KPI improvements for the operation.
The rollout focused on visibility, reliability, and sustainable scale.
Impact Metrics
Project summary
Robotic assembly line visibility, quality, and speed were unified in a single orchestration layer.
OEE, downtime, and quality metrics became traceable in real time.
Challenges
- • Line data lived in disconnected systems, delaying quality signals.
- • Operator interventions were late, extending downtime and rework costs.
Solution approach
- • A real-time integration between robotic cells and MES was delivered.
- • Quality rules and alert thresholds were centralized in one control layer.
Results
- • Downtime dropped and operator response time improved.
- • Quality deviations were detected earlier, reducing rework.
Technology layers
Delivery roadmap
Step 1
On-site discovery
Line flows, downtime types, and quality rules were mapped.
Step 2
Data integration
Robot, sensor, and MES data streams were unified.
Step 3
Control layer
OEE, quality, and alert dashboards went live.
Step 4
Continuous improvement
KPI-driven improvement cycles were established.