We had three research papers accepted and presented at the APMS 2022 International Conference on “Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action”, IFIP WG 5.7 International Conference, APMS 2022, Gyeongju, South Korea, September 25–29, 2022.

Our papers presented various aspects of our work on developing and evaluating augmented Data Analytics and Automated Machine Learning approaches for quality management using digital intelligent assistants.

The papers are the following (they are available at the Springer site):

Fikardos, M., Lepenioti, K., Bousdekis, A., Bosani, E., Apostolou, D., & Mentzas, G. (2022). An Automated Machine Learning Framework for Predictive Analytics in Quality Control. In IFIP International Conference on Advances in Production Management Systems (pp. 19-26). Springer, Cham.

Bousdekis, A., Mentzas, G., Apostolou, D., & Wellsandt, S. (2022). Evaluation of AI-Based Digital Assistants in Smart Manufacturing. In IFIP International Conference on Advances in Production Management Systems (pp. 503-510). Springer, Cham.

Wellsandt, S., Foosherian, M., Lepenioti, K., Fikardos, M., Mentzas, G., & Thoben, K. D. (2022). Supporting Data Analytics in Manufacturing with a Digital Assistant. In IFIP International Conference on Advances in Production Management Systems(pp. 511-518). Springer, Cham.