RFID & Wireless IoT in the cross-company automotive value chain
Manufactured in batch size 1, bumper to bumper on modular production lines, supported by collaborative robots – the reality in modern automotive manufacturing. Without transparent and integrated processes, production shuts down. Experienced experts from internationally operating enterprises provide their know-how here and show how future challenges in the automotive industry are already being solved today.
Starting in 2020, a German car manufacturer has opted for the UWB-based localization solution from Kathrein Solutions. The result: Vehicles and parts supply trolleys localized with an accuracy of only a few centimeters. The RTLS solution ensures the localization on three building levels.
Kirschenhofer Maschinen developed a production control and quality assurance system for Britax Römer using Turck's RFID tags and TBEN-S-Ethernet multiprotocol modules in conjunction with Labview – entirely without the need for a PLC.
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Wireless Technologies for the Automotive Industry
Of the industrial production environments, the automotive industry is one of the fastest and most individual ones. Production options are so varied and customer-specific that almost no two finished products (cars) are the same. Online configuration on the part of the end-customer lead to a complex supply chain that is very prone to failure.
For this very reason, not only the production on site but the entire supply chain – from the individual parts and different delivery systems to the inventory and manufacture in the factory, and the eventual roll-out – has to be connected in one or several compatible networks.
All articles in this section have been selected with care to not only provide you with information about certain projects but also to give you the opportunity to find the exact fit of supplier, product, or solution for your own project.
Sensor data and monitoring
To make it possible for wireless technologies like RFID, BLE, and WLAN but also ORM to allow a flow information, production plants have to be outfitted with the right infrastructure of data carriers. Highly automated systems have to be monitored by sensors that can measure data like temperature or load, so safety and functionality can be ensured.
Heading for Industry 4.0
The goal is to automate processes in such a way production can be controlled, organised, and optimised across plants instead of within one site to improve mass production. For this to be feasible, the entire logistics process has to be optimised in such a way that delays and errors are eliminated and the risks of the just-in-time or just-in-sequence (delivery directly to the assembly line) production principles decrease. Robots and self-learning transport systems are part of the way into the Industry 4.0.