At its Immenstadt site, Bosch is working on “industrializing” AI solutions. The basis for this lies in a scalable IoT architecture and cross-functional implementation teams. The first use cases have already been successfully deployed.
When the screen on the test bench for ABS systems at the Immenstadt plant of Robert Bosch GmbH lights up red, the assembly employees know that the tested component is faulty. What may sound trivial, means an enormous gain in efficiency when it comes to operation practice. This is because start-up effects can lead to errors that falsify the test result. In order to distinguish actual defects from start-up effects, the inspection time must be increased. The result: a deterioration in cycle times across the entire production line.
In order to minimize these time losses, the company today uses a self-learning system at this point that recognizes fault patterns based on collected data and thus differentiates between relevant and non-relevant fault messages. The high success rate is constantly improved by weekly re-training of the algorithms.
OPINION OF THE JURY
Electronic Components for the Automotive Industry
Employees at plant: