> Case Studies > Improving Factory Efficiency with IoT and CrateDB at ALPLA

Improving Factory Efficiency with IoT and CrateDB at ALPLA Logo
 Improving Factory Efficiency with IoT and CrateDB at ALPLA - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Machine Learning
  • Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
  • Equipment & Machinery
  • Packaging
Applicable Functions
  • Human Resources
  • Maintenance
Use Cases
  • Personnel Tracking & Monitoring
  • Real-Time Location System (RTLS)
  • Testing & Certification
The Challenge
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.
The Customer
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.
The Solution
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.
Quantitative Benefit
  • The solution powered by CrateDB improved dashboard query performance by 250x compared to SQL Server, allowing for faster decision-making and increased operational efficiency.

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