The Yield Manager supports process engineers in electronics manufacturing to sustainably increase production yield and avoid failures.
Artificial intelligence acts as a virtual assistant that detects errors based on production data and historical events and suggests solutions to the engineers.
Control over production always lies with the engineers!
The basis of the yield manager is the engineers and specialists as well as the production data. This trains an artificial intelligence that monitors production in real time and sends warnings or suggested solutions to the engineers and technicians.
The specialist knowledge and experience of the engineers and technicians helps in training artificial intelligence. Control over production remains with the engineers!
The production data and machine data are analyzed in real time. Historical error cases are included.
The artificial intelligence warns of production failures or yield drops and predicts necessary system maintenance.
Case study of soldering
The data for the yield manager is based on the machines or the current key indicator. However, the production data of one system is sufficient for the introduction. The yield-manager introduction usally starts with the soldering process and yield after the final test. As the AI usage progresses, all other machines will be gradually integrated.
Example AI assistant
Possible problem detected
Soldering process: Peak temperature will no longer be reached in approx. 20 processes
Temperature sensor replacement
Product carrier repair
Soldering oven heater maintenance necessary