Tracking of raw materials, finished products and assets
RFID has become an integral part of industrial production. The consistent identification of raw materials, semi-finished and finished products with RFID transponders ensures compliance with sustainable (often legal) production specifications. The clear and automated identification of parts entering production ensures error-free delivery to the assembly line and implies digital verification. This is an important requirement in quality management. In addition, the accuracy and transparency of inventory management increases with RFID tags and equipment such as containers and tools can also be perfectly tracked in the production cycle.
RFID as the basis for Production 4.0
In Production 4.0, the aim is to achieve a level of digitalization that implies optimal production control, efficient machine utilization and an improved material flow. The basis for all these effects is RFID technology, which can be used to mark, identify and track objects. The data that RFID transponders provide automatically also contributes to improved product quality, occupational safety, maintenance and optimized supply chain management.
RFID is the most logical “step” towards digitized production
Regardless of whether you supply the national market or global markets, you cannot avoid a decisive digitization step: the identification of the materials you use and the resulting semi-finished and finished products. Traceability within your company, across multiple locations or between suppliers and trading partners ensures your competitiveness. After all, your customers expect punctual and complete deliveries of flawless, high-quality products.
“RFID in production means having control over processes and inventories. “On top of that, you wil get valid data to make precise decisions.”
Advantages of RFID technology
- Realize exact inventories
Eliminate intransparency and bottlenecks - Improve the planning and monitoring of your production
Ensure better machine utilization - Increase product quality
Detect errors automatically and quickly
Application Examples
Recording of all raw materials, semi-finished and finished products, as well as production equipment such as containers and tools. Knowing how many “items” are in which condition and where they are located is essential for efficient production planning. Bottlenecks are avoided. Delivery promises to the customer are kept.
Before a component is assembled during production, it is automatically checked on the assembly line. Is this part really the right one? This check ensures quality in production and also helps to identify faulty parts or products more quickly and reduce waste. The rapid detection of defects makes it possible to improve product quality.
Production downtime must be avoided. This can be caused not only by material bottlenecks, but also by the failure of machines or systems. Predictive maintenance schedules maintenance intervals in such a way that sudden repairs do not occur in the first place. The service life of the machines is increased and the total operating costs are reduced.
Manufacturers gain greater planning security with visibility of the materials and raw materials they use. RFID enables better traceability – also in terms of sustainable procurement in the country of origin and CO2-friendly transportation. This enables them to keep their customer promise in terms of deadlines and environmental compatibility.
Industry: Tailor-made Auto-ID & RFID solutions
The RF KonSys strategy for industrial companies
First understand, then act. With our RF KonSYS strategy approach, we look at each customer process individually. We listen to your teams and analyze.
We then validate through proof-of-concept and simulations. Our approach is agile and flexible. When we design and implement your tailor-made RF KonSys solution, your teams will quickly appreciate its benefits in their day-to-day work.
Advantages
- Inventory management
- Production monitoring
- Asset Track & Trace
- Quality management
- Maintenance & servicing
- Supply chain management
Case Studies | References
