Abstract
Process quality has reached a high level on mass production, utilizing well known methods like the DoE. The drawback of the underlying statistical methods is the need for tests under real production conditions, which cause high costs due to the lost output. Research over the last decade let to methods for correcting a process by using in-situ data to correct the process parameters, but still a lot of pre-production is necessary to get this working. This paper presents a new approach in improving the product quality in process chains by using context data – which in part are gathered by using Industry 4.0 devices – to reduce the necessary pre-production.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
