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