Project at JERMI Cheese Factory: From Data Analysis to Predictive Automation
JERMI Cheese Factory in Laupheim, one of Germany's leading manufacturers of processed and sliced cheese products, is using Transaction-Network to optimize its production lines based on data and to prevent downtime in the long term.
The goal is a seamless, AI-powered service and production process: from data analysis through cycle automation to predictive automation - embedded in Transaction-Network's industrial service ecosystem.
Starting Point: Complex Production Lines with High Requirements
JERMI Cheese Factory operates several highly automated production lines for processed and sliced cheese. The systems must meet the highest quality standards while maximizing production availability.
Unplanned downtime not only means production losses but also quality degradation and high consequential costs.
The central challenge: How can machine data be systematically captured, analyzed, and used for predictive maintenance - without disrupting production?
Solution: Transaction-Network as the Central Platform
JERMI has chosen Transaction-Network as its central platform to consolidate, analyze, and use all relevant machine data for predictive automation.
The project is structured in three phases:
- **Phase 1: Data Collection and Analysis** - All relevant sensor data is captured in real time and stored centrally in Transaction-Network.
- **Phase 2: Cycle Automation** - Based on the collected data, production cycles are optimized and automatically adjusted.
- **Phase 3: Predictive Automation** - AI-powered models recognize patterns and enable predictive maintenance before failures occur.
Result: More Transparency, Less Downtime
By using Transaction-Network, JERMI has created a continuous data foundation that not only makes current production transparent but also forms the basis for predictive maintenance.
At the same time, the foundation is being laid for further automation steps. The system grows with the requirements and enables incremental optimizations.
“The benefits are clear: fewer unplanned stoppages, higher production availability, and better planning of maintenance work.”
- JERMI Cheese Factory
Outlook: AI-Powered Optimization as the Standard
The JERMI project shows exemplarily how machine data can not only be collected but actively used to optimize production processes. Transaction-Network acts as the central platform that consolidates all relevant data and makes it available for AI-powered analyses.
In the next steps, predictive automation is to be further expanded so that maintenance work can not only be planned but triggered fully automatically - an important step toward autonomous production.
From data analysis to fully automated maintenance: JERMI shows what the future of food production looks like.