Our paper on AI Quality Management published in Management Science
The paper “Using explainable artificial intelligence to improve process quality: Evidence from semiconductor manufacturing” by Julian Senoner, Prof. Netland, and Prof. Feuerriegel has appeared in open-access online on Management Science.
In the paper, we report how artificial intelligence (AI) can be used to improve quality management in complex digital production processes. Our algorithm has already been successfully tested at a semiconductor factory of Hitachi Energy – previously Hitachi ABB Power Grids – in Lenzburg: the number of defective products was reduced by over 50 percent in one experiment, making production not only more efficient but also more sustainable.
Read the full story on ETH News.
Reference:
Senoner J., Netland T., Feuerriegel S. (2021). Using explainable artificial intelligence to improve process quality: Evidence from semiconductor manufacturing. Management Science, published online: 9 December 2021.