Complex mechatronic products such as cars, airplanes, engineering machinery etc. usually have a large number of variants. Each variant is specified by configuration rules. In cars, every single component in average affects 90% of the other ~50,000 components. It takes tens of thousands of such configuration rules to map these relationships.
A knowledge-based representation of product configuration rules allows a high performant AI-based rule satisfiability analysis.
Semantics2019_v1_pres_Deloitte_BorisShalumov.pptx_.pdf
M.Sc. Mechanical Engineering
Deloitte
https://www.deloitte.com
Boris worked at Deloitte for three years and is responsible for business development and application of semantic technologies @ Deloitte. He developed concepts and impemented semantic applicaitons for multiple automotive OEMs and suppliers as BMW, Porsche, Daimler, Toyota, VARTA, BSH and other.
