How can a suitable added value policy shape structural change?

The German innovation and added value structures are still shaped by established sectoral and industry-specific cooperation relationships. Presently these structures are opening, particularly through digital technology and new demands to a more sustainable added value. That way the boundaries between sectors are becoming increasingly blurred and new forms of interaction emerge.

Fundamental novelties are created particularly at the boundaries between disciplines and sectors. They demand and create new interconnections between actors and connect knowledge bases which up to then have been unconnected. The structural change which has thus been created does not only concern the automotive industry in Germany but also the mechanical engineering sector, the energy industry and numerous other areas of the processing industry.

Fraunhofer ISI researches these structural changing processes and develops together with representatives from politics and industry design options for a future-oriented added value policy, aimed at this structural change.


Model-based Scenario Analysis of the Effects of Made in China 2025 on the Value-added and Market Shares of the German Mechanical Engineering Industry (Made in China 2025)

Objectives are modelling and simulation of the value-added and market effects of “Made in China 2025” on German industry for the time horizon of 5-10 years based on the current system. Because of its high relevance with regard to the advanced manufacturing technologies mentioned in “Made in China 2025”, such as high-end-controlled machine tool systems, robot technologies, smart sensors, radio recognition chips, etc., the study is being carried out with a special focus on German Mechanical Engineering Industry.

Assessing the untapped potentials for value creation in manufacturing in Baden-Wuerttemberg and Germany in the digital age (Industry 4.0)

The current implementation of lean principles in industrial enterprises in Baden-Wuerttemberg and Germany and the ongoing diffusion of Industry 4.0 technologies are revealed by analyzing data from the German Manufacturing Survey. This makes it possible to identify and describe patterns of distribution. Based on this, differences in company performance are examined empirically and untapped potentials of these concepts are derived from this. Accompanying case studies of excellent enterprises enhance these insights and make it possible to describe concrete examples of good practice.