Making information accessible: Artificial intelligence can improve information management in the company.
The start of a successful digital transformation is favored by a high level of lean maturity.
The event provided an overview of innovations and methods in production systems in the context of Industry 4.0 and highlighted areas of application during a virtual tour.
North Rhine-Westphalia has the best prerequisites for the digital age. Mechanical engineering and production technology companies are particularly in demand as enablers and problem solvers. They act as suppliers of Industrie 4.0 modules, as integrators of ICT technologies and sensor systems in their products, and not least as users of Industrie 4.0 solutions to optimize their own production processes.
Digitalization and Industry 4.0 bring with them a new value creation logic that is a complex challenge for all those involved. ProduktionNRW has defined five topic areas that need to be analyzed, discussed and driven forward.
The manufacturer-independent exchange of data forms an important basis for Industry 4.0 activities. The innovation magazine of ProduktionNRW presents successful examples.
Science and industry work hand in hand at the Buschhütten Campus. The Lab Tour provided a look at current research projects as well as solutions for digitalization and automation.
Interoperability in production is an important condition for many Industrie 4.0 use cases. With the help of OPC UA, access to production data can be made much easier.
The event was offered by ProduktionNRW. ProduktionNRW is the competence network of mechanical engineering and production technology in North Rhine-Westphalia and is implemented by VDMA NRW. ProduktionNRW sees itself as a platform for networking, informing and marketing companies, institutions and networks among themselves and along the value chain. Significant parts of the services provided by ProduktionNRW are funded by the European Regional Development Fund (ERDF).
humans and robots. But before this can happen, it must be determined which processes are suitable.