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The future is Smart Industry, also better known as Industry 4.0
Smart Industry or also Industry 4.0 is the name for a trend of automation and data exchange used in industrial manufacturing techniques.
It consists of autonomous cyber-physical production systems, the systems that can partially or completely take over our thinking process (cognitive computing).
Smart Industry or Industry 4.0 makes what is called a "smart factory". Within these smart factories, machines are linked and read out, so that a good insight can be obtained into what really happens in the factory and the processes can be optimized faster. This creates new opportunities in the value chain, because lead times can be shortened and work can be done more efficiently. One will try to avoid typing information from one software system to another software system.
In the field of service, too, systems are being created that will predict maintenance work. When introducing such systems, a distinction is made between horizontal and vertical integration. Horizontal integration concerns the digitization of order processes, such as requests, quotations, orders, insight into production progress and invoicing. Vertical integration concerns the integration of information flows from the shop floor to the executive office.
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.
