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The definition of Industry 4.0
Industry 4.0 consists of four pillars:
1) Shop floor
2) Alarms and Warnings, Soring Listed System
3) Predictive Maintenance
4) Machine Learning
Each pillar has a diversity of possibilities and solutions.
Shopfloor
The Shopfloor is located in the MES and ERP layer of an organization.
Through an option, Matranda has the possibility to offer the following systems:
- OEEOverall Equipment Effectiveness
- Inventory management
- Production capabilities
In this Shopfloor, the quality improvement of a product can be investigated through data analysis and by the Quality Management department.
Alarms and Warnings
In the Fault Report System, all alarms and warnings are handled based on priority, response time, alarm distribution and an overview.
Because a complete overview is generated, it is possible to further process the Predictive Maintenance. The Fault Reporting System is linked to Predictive Maintenance.
Predictive Maintenance
With predictive maintenance we want to know in advance when a part breaks down or when a part needs maintenance.
This allows us to achieve the following:
- Fewer disruptions.
- Higher machine performance.
- Quick problem-solving capacity, so that the technical services department is less burdened.
- Total factory overview that visualizes the status of the machines.
Machine Learning
The final phase for Industry 4.0 is Machine Learning. Matranda has programmed this software in the MTD Server. Machine Learning and AI (artificial intelligence) are often confused. But there is an essential difference between the two, as can be seen on the "How does it work" page.
Both Supervised and Unsupervised Machine Learning are programmed in the Matranda software of the MTD Server. It is an interplay between the customer and the machine (device). The customer determines which direction the machine should follow.
The possibilities are almost limitless. Here are some examples:
- Lifelong customer value
- Detecting deviations in products and production processes
- Dynamic pricing
- Deep Learning with different layers built into the Matranda system.
- Neural Networks again with the different layers.
