Quality data and production process monitoring
The challenge: Traceability and control of process parameters is time consuming as data is not available where it’s needed. Losses for quality and legal issues are frequent
- Quality parameters data is captured manually
- Resources are dedicated to fill out manual forms
- Data arrives late and with errors
- Traceability of data is incomplete
- Regulatory risks are high due to lack of accurate data
- Lack of data delay working in product improvements
Consequences
Low quality product is delivered to market
Higher operational costs and product losses
Real time machine monitoring with IoT
- Machine status
- Operation time
- Downtime
- Production data
- Waste
- Process temperature
- Product weight
- .. And more
Advanced data analysis
- Machine utilization analysis
- Weight statical process control analysis
- Variability analysis
- Alarms triggered by unmet parameters
- … and more
Benefits
Faster decision-making
- Real time visibility of key quality and process data
- Product features improvement with available trends and historical process data
Better process quality conditions
- Guarantee quality conditions are met
- Improve regulatory compliance with accurate data
Reduce costs
- Avoid product loss due to faulty cold room or oven temperature conditions
- Reduce product or materials waste by quantifying and identifying its sources
Our success stories
Sectors and machines we’re working with
Manufacturing sectors
- Industrial refrigerators
- Industrial ovens
- Cold rooms
- Fabric printing
- Film stretching
- Carpet & fabric finishing
- Press machine
- Textile mills
- Personal care
- Machinery manufacturing
- .. And others
Machine types
- Packing
- Bottling
- Sealing
- Mills
- Pasteurizers
- Balers
- Industrial refrigerators
- Industrial ovens
- Cold rooms
- Fabric printing
- Film stretching
- Carpet & fabric finishing
- Press machine
- Extrusion machines
- Injection machines
- .. And more