RAN – RFID-Based Automotive Network

Today, the industrial production and the production of automobiles in particular are signified by global production and logistics networks. In the project RFID-Based Automotive Network (RAN), the goal was to improve the control of these complex networks. Thus, the 18 consortium partners did research on the three core topics of the project:

  • Creation of transparency in the supply chain
  • Efficient control of production and logistics processes
  • RFID-based standards for the automotive industry

The FZI researchers have focused on the development of concepts and technologies of logistics control systems that provide efficient reaction mechanisms. These mechanisms are able to respond to disturbances and inacceptable deviations in a timely manner. Therefore, the first step was to develop methods that help reliably recognise critical deviations from the plan. The basis for the development of these methods are RFID and the data exchange via an information broker. The RAN technology makes it possible to make the state of logistics and production systems transparent.

By collecting and evaluating RFID-based events, it is possible to quickly react to critical deviations of relevant process indicators or unexpected malfunctions. Furthermore, it is possible to evaluate new options for action for the tactical or strategic replanning over a long term.

The standard planning process can be enhanced through the RAN technology by a feedback loop (see figure). This helps realising a comprehensive disruption management at all decision-making levels.

The RAN technology helps enhancing the standard planning process by a feedback loop

The researchers at the FZI have implemented their knowledge and solutions into several demonstrators. Thus, they have proved that the RAN technology can help building up assistance systems that are supportive in decision-making for the reactive and proactive process stabilisation.


  • Daimler AG
  • BMW AG
  • Adam Opel AG
  • Robert Bosch GmbH
  • Johnson Controls
  • BLG Logistics Group
  • DHL
  • IBM Deutschland GmbH
  • IBS AG
  • SAP AG & Co KG
  • Siemens AG
  • BIBA – Bremer Institut für Produktion und Logistik GmbH
  • Fraunhofer Institute for Material Flow and Logistics (IML)
  • FZI Research Center for Information Technology
  • University of Applied Sciences in Saarbrücken, Germany (htw saar)
  • Institute for Machine Tools and Industrial Management (ibw), Technical University of Munich

Further information

  • Funded by: BMWi
  • Project term: 3 years
  • Divisions involved: IPE