• Transform manufacturing for Industrie 4.0

    Support harmonious integration of innovative technologies into a holistic manufacturing system for fully connected, automated, and optimised production flow for the Factories of the Future.

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  • Validate technologies in key industrial sectors

    Drive efficiency in manufacturing and change traditional production relationships among suppliers, producers, and customers, as well as between human and machines.

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  • The DISRUPT platform integrates a number of technologies through a modular, cloud-based, and flexible approach.

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  • We build upon a powerful reference platform that allows the incorporation of a variety of different tools and services.

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  • Browse through innovative research and development and learn more about the DISRUPT work in our papers.

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  • Stay informed on our progress through announcements on achievements and presentations to related events.

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Our market targets

DISRUPT primarly targets manufacturing enterprises across Europe, operating in the consumer durables and electronics and in the automotive industry. These could be either independent, large industrial sites or various sites scattered throughout Europe. We provide these sectors with the following advantages:

  • Operate effectively and efficiently to meet the massively customised consumer needs or to reflect promotions that target specific market segments.
  • React and decide on the production processes and the whole manufacturing chain in real time by encompassing CPS/IoT/Analytics to feed tactical or strategic decisions.
  • Use of enhanced tools and services for a holistic approach to production planning and control in order to manage complex manufacturing ecosystems.

Further to them, DISRUPT aims to address the challenges in industrial sites of other manufacturing sectors.

The DISRUPT Consortium

A well-balanced partnership of research, technology and industrial organisations, with collectively exhaustive skills and expertise for the implementation of the Factory of the Future challenges.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 723541

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