- Analytics & Modeling - Machine Learning
- Infrastructure as a Service (IaaS) - Cloud Computing
- Equipment & Machinery
- Human Resources
- Personnel Tracking & Monitoring
- Real-Time Location System (RTLS)
- Testing & Certification
As the complexity of production machinery increases, so does the need for highly trained specialists in each factory. This creates higher personnel costs, difficulty in recruiting experienced talent, costly personnel turnover, and sub-optimal machine operation.
About The Customer
ALPLA is a world leader in packaging solutions, employing 20,900 employees at 181 locations across 46 countries. They produce high-quality packaging for brands in the food, drinks, cosmetics, and cleaning industries.
ALPLA used manufacturing machinery data to automate machines in real-time and inform operators about equipment performance. They integrated sensor data from multiple factories into a central 'mission control' staffed by experts who monitor production via interactive dashboards. They switched to CrateDB, a solution perfectly suited for IoT workloads, which improved query performance by 250x compared to SQL Server.
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