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Digitalization & Industry 4.0


Shaping Digital Transformation

The globalization of markets and their interconnections is bringing companies into an increasingly fierce competition in which data is becoming an extremely valuable asset.
An asset that enables companies to stay competitive by making the right decisions faster and reacting more quickly to changing requirements.
Being more flexible, more innovative, more cost-effective - that is the motto of the future.

Digitalization is therefore not an end in itself, but a means to stay successful in a global competition in the long term.

The objective of digitalization and Industry 4.0 are networked, learning, and thus agile companies. In other words: companies that are able to
• manage automatization to a high degree
• collect, analyze and correlate all relevant data
• and finally apply the findings

This way companies are being enabled to create autonomous self-optimizing processes that provide the highest degree of efficiency and added value.
Together with our partners, we assist clients in the worldwide process industry on their journey to digital transformation.
The five stages of Industry 4.0 Development and their goals are shown in the graphic of FIR e.V. (RWTH Aachen University).
The concept is based on the acatech´s renowned study Industry 4.0 Maturity Index.

5 Stufen der Industrie 4.0 Entwicklung (Quelle: FIR e. V. der RWTH Aachen)

5 Stages of Industry 4.0 Development (Source: FIR e. V. of RWTH Aachen University)

atlan-tec Systems GmbH is a member of the standardization committee RA 7.27 VDI/VDE/GMA in order to further advance the objective measurement of industry 4.0 maturity and
to support our clients in their development into industry 4.0 maturity.
Here we work together with representatives of all important industrial enterprises on a uniform definition of industry 4.0 and how the general maturity of enterprises can be improved.
In addition, Thomas Froese, founder and managing director of atlan-tec, leads the standardization committee VDI/VDE/GMA 7.24 "Big Data in Production Processes".
This working group has issued a recommendation on "Big Data Best Practice" and developed the german standard VDI3714, which will be published at the end of 2019.




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