Abstract

Automotive industry is undergoing more or less radical change at different levels. Environmental requirements gain higher interest, mobility concepts influence the traditional business cases, the product is getting smarter, and new partners on the market or from other domains force industry to re-think collaboration. Challenges and fields of action cover a huge range from availability and reliability of data, gaining effectiveness in the early development phase, a more consequent integration of systems engineering into lifecycle processes, the lacking interoperability of data and models, demand for simulation governance and traceability, to the adequate role of data analytics and machine learning within continuous system integration and deployment. The risk is to take decisions and measures without having a big picture or vision what has to be expected within the next 5-10 years. The lecture will analyze major differences of current and future development, give an overview on the future oriented fields of action in the context of advanced virtualized development, and takes a look on some promising methodical and technological approaches.