Production Data for Predictive Quality
Loading...
Author
Schmid, Philipp A. E.
Abstract
Perfect quality and ever higher efficiency drive Swiss companies. Many production companies have started to store data from machines and test equipment. But what now? How can they gain a real competitive advantage from the data without simply accumulating a gigantic mountain of data waste? With new concepts such as Predictive Quality, holistic solution approaches are available, which also bring a direct appreciation. In his presentation, Philipp Schmid analyzes where the technology stands today, he points out stumbling blocks and uses concrete examples to show the enormous potential of AI in industry.
Publication Reference
Workshop on Digital Twins and Data Usage
Year
2023-09-12
Sponsors
Data Booster
Innovation Booster Microtech