Client Overview
A heavy equipment manufacturing company in Turkey specializing in hydraulic presses, stamping machines, and automated forming lines for the automotive and construction industries.
Our Approach
Our approach included:
- Pressure, temperature, and flow sensors across all lines
- Edge-based monitoring units for real-time diagnostics
- AI model training to detect anomalies in actuator behavior
- Integration with machine PLCs for real-time control adjustments
Challenge
The client’s production systems relied heavily on hydraulics and pneumatics, but recurring breakdowns and energy inefficiencies were causing:
Hydraulics & Pneumatics
India
Key pain points included:
- Frequent system downtime due to pressure leaks
- Inconsistent actuator response in automated cycles
- High energy usage due to poor control mechanisms
- Lack of predictive insights into component wear and tear
Solutions Delivered
Smart Hydraulic Monitoring System
Installed sensors to track pressure, temperature, and flow in real time for precision control.
Automated Pneumatic Leak Detection
Enabled real-time alerts for leaks using threshold-based monitoring and diagnostics modules.
Digital Twin for Simulation & Control
Built virtual models of press lines to simulate performance and predict operational risks.
Predictive Maintenance & Feedback Control
Deployed dashboards and PLC-integrated controls to detect wear trends and optimize response loops.
Technologies Used
Business Impact / Results
The smart automation of hydraulic and pneumatic systems delivered:
What Our Clients Say
"QeMatic's RPA team transformed our manual loan processing system. What once took days now happens in hours. Their deep platform knowledge and process-driven approach helped us reduce turnaround time by over 60% while staying fully compliant."
“We engaged QeMatic to integrate AI with our existing automation efforts. The results were outstanding — predictive quality control and demand forecasting brought a new level of intelligence to our operations. They truly understand the future of automation."
"QeMatic's Time and Motion Study uncovered hidden inefficiencies in our patient onboarding flow. Their insights led to a 30% improvement in staff productivity and better patient experience. The free consultation alone was eye-opening."
Key Highlights (Summary Box)
| Metric | Before | After |
|---|---|---|
| Equipment Downtime | 5–6 Hours / Week | Less Than 2 Hours / Week |
| Valve Replacement Frequency | Every 4 Months | Every 9 Months |
| Leak Detection | Manual Checks | Automated in Real-Time |
| Energy Consumption | Unoptimized | 35% Reduced Consumption |
