Bertram Münch & Rachaa Ghabri

Bertram Münch studied physics at the University of Karlsruhe and graduated as a physicist in 1986. Always active within Audi in the field of vehicle electronics, he has been responsible for system and lifecycle planning for the "universal test technology" in Audi production planning since 2006 - a system technology or production IT with which the complete vehicle electronics are databased, calibrated, tested and documented within vehicle production. Rachaa Ghabri studied mechanical engineering with a focus on microelectronics at the University of Stuttgart and holds a Master of Science in Operations Management of the ESB Business School. She has been a PhD student in the Smart Manufacturing division of Audi (data-driven process optimization) since 2016. Rachaa Ghabri is a certified Process Manager and has several years of professional experience in hardware development for electrics/electronics.

Data-driven process optimization of electronic processes in the final vehicle assembly

Thursday 03/12/20 from 1:45 pm - 2:15 pm

Tomorrow's vehicles will be electric, fully networked, and software-driven. The VW ID.3, for instance, is already known as the "smartphone on wheels". However, networking and digitalization bring not only new opportunities in automotive production but also rising complexity. 2,500 process steps are necessary to program 160 control units in a premium vehicle of Audi with customer-specific data during the final assembly. This complexity will continuously grow, since both the processes and the production resources must be adapted to the increasing requirements of the product, optimized and further developed in a future-oriented manner. Efficient, up-to-date methods and tools are required to master this complexity. The electronic processes are digital throughout, providing a high volume of data and a high level of detail. This makes them predestined for data-driven optimization using Smart Data Analytics. Audi has applied this approach and verifiable and sustainably optimized its electronics-relevant production processes in final assembly. This project made it very clear that data-driven optimization involves much more than large amounts of data and powerful IT solutions. Smart Data Analytics must be seamlessly integrated into everyday work processes and established as a supporting tool. In this presentation, experiences from the project will be presented and best practices are derived, which can be transferred not only to other areas of automobile production but also to other industrial sectors.