The DataVar project will develop data-driven methods for a holistic manufacturing variation management with the aim for improving process capability and reducing variations of the existing multi-process production systems, and thus minimizing cost and resource usage. The project will utilize the large amount of production data collected at Benteler Automotive Raufoss AS and Hexagon Ragasco AS to allow for decision support with respect to optimising manufacturing variations and realisation of multi-process monitoring and control functionality. Artificial intelligence and statistical methods will be used to develop data-driven models that will serve as a basis for the variation-optimising decision-support technology. The two major value creation drivers from the developed methods will be the ability to perform intelligent manufacturing project cost prediction grounded in data and reduced time for readjustment of the production equipment.
Project leader: Davar Hemyari
Institution: BENTELER AUTOMOTIVE RAUFOSS AS
Address: Vestre Toten